Triple

T1422237
Position Surface form Disambiguated ID Type / Status
Subject OWL Full E30248 entity
Predicate lessRestrictiveThan P24324 FINISHED
Object OWL DL E165093 NE FINISHED

How this triple was built (3 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 DL | Statement: [OWL Full, lessRestrictiveThan, OWL DL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OWL DL
Context triple: [OWL Full, lessRestrictiveThan, OWL DL]
  • A. OWL DL chosen
    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 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lessRestrictiveThan
Context triple: [OWL Full, lessRestrictiveThan, OWL DL]
  • A. weakerThan chosen
    Indicates that one entity has less strength, power, or effectiveness than another entity.
  • B. lessSevereIn
    Indicates that one condition, event, or factor has a lower level of severity than another within a specified context.
  • C. strongerThan
    Indicates that one entity possesses greater strength, power, or intensity than another.
  • D. isLessCommonThan
    Indicates that one item occurs, appears, or is observed less frequently than another item.
  • E. hasLessFinancialPowersThan
    Indicates that one entity’s authority or capacity to make financial decisions or control financial resources is lower or more limited than that of another entity.
  • F. None of above.

Provenance (4 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_69a4c52e4ed881908d85e0cb9fe851ac completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c9999b0819086573fb974952f63 completed March 8, 2026, 6:52 a.m.
PD Predicate disambiguation batch_69a4c4752abc8190a33b634c4d6fad28 completed March 1, 2026, 10:57 p.m.
Created at: March 1, 2026, 8 p.m.