Triple

T9166721
Position Surface form Disambiguated ID Type / Status
Subject Blue Wyandotte E219978 entity
Predicate colorVarietyOf P19736 FINISHED
Object Wyandotte E38912 NE 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: Wyandotte | Statement: [Blue Wyandotte, colorVarietyOf, Wyandotte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyandotte
Context triple: [Blue Wyandotte, colorVarietyOf, Wyandotte]
  • A. Wyandotte chosen
    Wyandotte is a popular American dual-purpose chicken breed valued for its good egg production, meat quality, and attractive laced plumage.
  • B. Wyandotte
    Wyandotte is an alternative name for the Wyandot, a Native American people historically located around the Great Lakes region.
  • C. Wyandotte, Michigan
    Wyandotte, Michigan is a small industrial city and Downriver suburb of Detroit located along the western shore of the Detroit River.
  • D. Goodhue
    Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
  • E. Vilas
    Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaade47cc81909b5c127dc8aa1340 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065cd42f481909ad3c68372041b1a completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:22 p.m.