Triple
T14569839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TERYT |
E341881
|
entity |
| Predicate | hasComponentRegister |
P4184
|
FINISHED |
| Object |
TERC
TERC is a component register within Poland’s national territorial land apportionment system, cataloging administrative units such as voivodeships, counties, and communes.
|
E1106900
|
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: TERC | Statement: [TERYT, hasComponentRegister, TERC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TERC Context triple: [TERYT, hasComponentRegister, TERC]
-
A.
TRE
TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
-
B.
TRE
TRE is the IATA airport code for Tiree Airport, which serves the island of Tiree in Scotland’s Inner Hebrides.
-
C.
TEC
TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
-
D.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
E.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
- 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: TERC Triple: [TERYT, hasComponentRegister, TERC]
Generated description
TERC is a component register within Poland’s national territorial land apportionment system, cataloging administrative units such as voivodeships, counties, and communes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TERC Target entity description: TERC is a component register within Poland’s national territorial land apportionment system, cataloging administrative units such as voivodeships, counties, and communes.
-
A.
TRE
TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
-
B.
TRE
TRE is the IATA airport code for Tiree Airport, which serves the island of Tiree in Scotland’s Inner Hebrides.
-
C.
TEC
TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
-
D.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
E.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentRegister Context triple: [TERYT, hasComponentRegister, TERC]
-
A.
hasRegister
chosen
Indicates that one entity possesses, contains, or is associated with a specific register (such as a record, log, or hardware register).
-
B.
hasComponentModel
Indicates that an entity includes or is associated with a specific component model as part of its structure or configuration.
-
C.
hasComponentProgram
Indicates that one program includes or is composed of another program as a component or sub-program.
-
D.
hasServerComponent
Indicates that an entity includes, depends on, or is associated with a particular server-side component.
-
E.
hasRegisterSystem
Indicates that an entity uses or is associated with a particular register system (e.g., a system for recording, tracking, or registering items, events, or participants).
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f2121481908f2385637944785d |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac858108190b7c90130f18b0ddb |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8c3678048190a23b509e963c1ade |
completed | May 8, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d609684819090a9c3f2304f4a6a |
completed | May 8, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.