Triple
T1422236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OWL Full |
E30248
|
entity |
| Predicate | contrastsWith |
P278
|
FINISHED |
| Object |
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.
|
E168626
|
NE FINISHED |
How this triple was built (4 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: OWL 2 RL | Statement: [OWL Full, contrastsWith, OWL 2 RL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OWL 2 RL Context triple: [OWL Full, contrastsWith, OWL 2 RL]
-
A.
OWL 2 EL
OWL 2 EL is a lightweight profile of the Web Ontology Language designed for efficient reasoning over large-scale ontologies, particularly in domains like biomedical terminologies.
-
B.
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.
-
C.
OWL 2 recommendation
The OWL 2 recommendation is a W3C standard that extends the Web Ontology Language with a family of profiles and features for more expressive, interoperable semantic web ontologies.
-
D.
OWL DL
OWL DL is a sublanguage of the Web Ontology Language that balances expressive power with computational decidability by adhering closely to description logic foundations.
-
E.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
- 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: OWL 2 RL Triple: [OWL Full, contrastsWith, OWL 2 RL]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OWL 2 RL Target entity description: 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.
-
A.
OWL 2 EL
OWL 2 EL is a lightweight profile of the Web Ontology Language designed for efficient reasoning over large-scale ontologies, particularly in domains like biomedical terminologies.
-
B.
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.
-
C.
OWL 2 recommendation
The OWL 2 recommendation is a W3C standard that extends the Web Ontology Language with a family of profiles and features for more expressive, interoperable semantic web ontologies.
-
D.
OWL DL
OWL DL is a sublanguage of the Web Ontology Language that balances expressive power with computational decidability by adhering closely to description logic foundations.
-
E.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
- F. None of above. chosen
Provenance (5 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4915bfc8190a631330b7c495b49 |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad159c0a6881909a1c4e213209dc84 |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad164d4cfc8190a1be23c814b6b18f |
completed | March 8, 2026, 6:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad16a5c76c8190a0bb3ccf5557b1b0 |
completed | March 8, 2026, 6:26 a.m. |
Created at: March 1, 2026, 8 p.m.