Triple
T1492162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPARQL |
E29603
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | SPARQL Protocol and RDF Query Language |
E29603
|
NE FINISHED |
How this triple was built (2 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: SPARQL Protocol and RDF Query Language | Statement: [SPARQL, fullName, SPARQL Protocol and RDF Query Language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPARQL Protocol and RDF Query Language Context triple: [SPARQL, fullName, SPARQL Protocol and RDF Query Language]
-
A.
SPARQL
chosen
SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
-
B.
RDF
RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
-
C.
OWL 2 RL
OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
-
D.
OWL 2 QL
OWL 2 QL is a lightweight profile of the Web Ontology Language designed to enable efficient query answering over large datasets using standard relational database technologies.
-
E.
Cool URIs for the Semantic Web
Cool URIs for the Semantic Web is a W3C note that provides best-practice guidelines on designing stable, resolvable web identifiers (URIs) for publishing and linking semantic web data.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4c6c4f0c88190a97ba4910c1a5d85 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308bf1048190bc15a712e5ee0caa |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 1, 2026, 8:12 p.m.