Triple

T33094309
Position Surface form Disambiguated ID Type / Status
Subject LTV Steel E846868 entity
Predicate ownedFacilityIn P8074 FINISHED
Object Cleveland, Ohio NE NERFINISHED

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: Cleveland, Ohio | Statement: [LTV Steel, ownedFacilityIn, Cleveland, Ohio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ownedFacilityIn
Context triple: [LTV Steel, ownedFacilityIn, Cleveland, Ohio]
  • A. ownsFacilityOn chosen
    Indicates that one entity possesses ownership or control over a facility located on or associated with another entity (such as a site, property, or area).
  • B. locatedInBuildingOwnedBy
    Indicates that one entity is situated within a building that is owned by another entity.
  • C. ownedIn
    Indicates that one entity possesses or holds legal or recognized ownership of another entity within a specific context, domain, or scope.
  • D. usesFacilityFor
    Indicates that an entity makes use of a particular facility to carry out a specific purpose, activity, or function.
  • E. ownershipBasedIn
    Indicates that an entity’s ownership or controlling stake is primarily located, registered, or based in a particular place or jurisdiction.
  • F. None of above.

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_69f3495590dc8190aa04f3dec74ce976 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6a7c6348190bc2f40bdf6597288 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d27120988190aacec621cf2bf0e8 completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:26 a.m.