Triple

T434413
Position Surface form Disambiguated ID Type / Status
Subject War Production Board E9780 entity
Predicate oversawSector P11084 FINISHED
Object automobile industry 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: automobile industry | Statement: [War Production Board, oversawSector, automobile industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oversawSector
Context triple: [War Production Board, oversawSector, automobile industry]
  • A. oversawEvent
    Indicates that an entity had supervisory or managerial responsibility for the planning, execution, or overall conduct of an event.
  • B. overseesProject
    Indicates that one entity has responsibility for supervising, managing, or directing the progress and execution of a project involving another entity.
  • C. oversightScope chosen
    Indicates the range or extent of responsibilities and activities that fall under an entity’s oversight or supervisory authority.
  • D. sector
    Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
  • E. sectorServed
    Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ef0a008c8190ae0aa25e4df9c35f completed Feb. 28, 2026, 1:35 p.m.
PD Predicate disambiguation batch_69a2edda55e88190b7c17ba94d7df1ce completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.