Triple
T7086738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OWL DL |
E165093
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
OWL Lite
OWL Lite is a simplified sublanguage of the Web Ontology Language designed to support basic classification hierarchies and constraints with lower complexity than more expressive OWL variants.
|
E640801
|
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 Lite | Statement: [OWL DL, relatedTo, OWL Lite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OWL Lite Context triple: [OWL DL, relatedTo, OWL Lite]
-
A.
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.
-
B.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
C.
OWL Full
OWL Full is the most expressive and semantically unrestricted variant of the Web Ontology Language, allowing full RDF compatibility at the cost of computational decidability.
-
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.
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.
- 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 Lite Triple: [OWL DL, relatedTo, OWL Lite]
Generated description
OWL Lite is a simplified sublanguage of the Web Ontology Language designed to support basic classification hierarchies and constraints with lower complexity than more expressive OWL variants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OWL Lite Target entity description: OWL Lite is a simplified sublanguage of the Web Ontology Language designed to support basic classification hierarchies and constraints with lower complexity than more expressive OWL variants.
-
A.
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.
-
B.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
C.
OWL Full
OWL Full is the most expressive and semantically unrestricted variant of the Web Ontology Language, allowing full RDF compatibility at the cost of computational decidability.
-
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.
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.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e513d9b08190a8a8d213c2264ce4 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79484a644819091fac0e361f77c91 |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c795cd08e081908c5f1a59e284063a |
completed | March 28, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c797711c78819098f9ac674728eb3b |
completed | March 28, 2026, 8:55 a.m. |
Created at: March 27, 2026, 2:41 p.m.