Triple

T12948041
Position Surface form Disambiguated ID Type / Status
Subject Huey P. Long Bridge (Baton Rouge) E309818 entity
Predicate namedForPositionHeldByEponym P16867 FINISHED
Object Governor of Louisiana LITERAL 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: Governor of Louisiana | Statement: [Huey P. Long Bridge (Baton Rouge), namedForPositionHeldByEponym, Governor of Louisiana]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: namedForPositionHeldByEponym
Context triple: [Huey P. Long Bridge (Baton Rouge), namedForPositionHeldByEponym, Governor of Louisiana]
  • A. namedForPoliticalRole chosen
    Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
  • B. namedPersonRole
    Indicates that a person is identified by name as holding a specific role or position in a given context.
  • C. notableOfficeHolder
    Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
  • D. namedPersonOccupation
    Indicates that a person is explicitly identified as having a particular occupation or job role.
  • E. officeHoldersAlsoKnownAs
    Indicates that an office holder is known by an alternative name, alias, or variant designation.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69d97db69f548190a1a693bc0d6c191a completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:43 p.m.