Triple
T1500610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DBLP |
E29786
|
entity |
| Predicate | originallyStoodFor |
P22049
|
FINISHED |
| Object |
DataBase systems and Logic Programming
DataBase systems and Logic Programming (DBLP) is a computer science bibliography project that indexes research publications in areas such as databases, logic programming, and related fields.
|
E171109
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DataBase systems and Logic Programming | Statement: [DBLP, originallyStoodFor, DataBase systems and Logic Programming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DataBase systems and Logic Programming Context triple: [DBLP, originallyStoodFor, DataBase systems and Logic Programming]
-
A.
Database System Concepts
Database System Concepts is a widely used foundational textbook in computer science that introduces the principles, design, and implementation of modern database systems.
-
B.
INGRES relational database system
INGRES relational database system is an influential early relational DBMS developed at the University of California, Berkeley, that pioneered many concepts and technologies later adopted by commercial database systems.
-
C.
ACM SIGLOG
ACM SIGLOG is the Association for Computing Machinery’s Special Interest Group on Logic, focusing on research and activities in logic in computer science.
-
D.
Hoare logic
Hoare logic is a formal system in computer science used to reason rigorously about the correctness of computer programs using logical assertions about program states.
-
E.
Description Logic
Description Logic is a family of formal knowledge representation languages used to model and reason about the concepts and relationships within a domain, forming the logical foundation of ontology languages like OWL.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DataBase systems and Logic Programming Triple: [DBLP, originallyStoodFor, DataBase systems and Logic Programming]
Generated description
DataBase systems and Logic Programming (DBLP) is a computer science bibliography project that indexes research publications in areas such as databases, logic programming, and related fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DataBase systems and Logic Programming Target entity description: DataBase systems and Logic Programming (DBLP) is a computer science bibliography project that indexes research publications in areas such as databases, logic programming, and related fields.
-
A.
Database System Concepts
Database System Concepts is a widely used foundational textbook in computer science that introduces the principles, design, and implementation of modern database systems.
-
B.
INGRES relational database system
INGRES relational database system is an influential early relational DBMS developed at the University of California, Berkeley, that pioneered many concepts and technologies later adopted by commercial database systems.
-
C.
ACM SIGLOG
ACM SIGLOG is the Association for Computing Machinery’s Special Interest Group on Logic, focusing on research and activities in logic in computer science.
-
D.
Hoare logic
Hoare logic is a formal system in computer science used to reason rigorously about the correctness of computer programs using logical assertions about program states.
-
E.
Description Logic
Description Logic is a family of formal knowledge representation languages used to model and reason about the concepts and relationships within a domain, forming the logical foundation of ontology languages like OWL.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyStoodFor Context triple: [DBLP, originallyStoodFor, DataBase systems and Logic Programming]
-
A.
wasOriginally
chosen
Indicates that an entity had a particular state, form, type, or affiliation at an earlier time, which has since changed.
-
B.
originallyHad
Indicates that an entity previously possessed, contained, or was associated with something before a change, loss, or transformation occurred.
-
C.
originallyIn
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
-
D.
originalMeaning
Indicates that something retains or conveys its initial, intended sense or significance, as opposed to a later or altered interpretation.
-
E.
standsFor
Indicates that one entity represents, symbolizes, or serves as a substitute or abbreviation for another entity.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6f2d7f881909188a3e5614335cd |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cb3c5908190b3d5fe7a4dcaa234 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad202409bc81908733c966b6a64a37 |
completed | March 8, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad207aa360819089bd06f9aa0ee86f |
completed | March 8, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.