Triple

T14871988
Position Surface form Disambiguated ID Type / Status
Subject County of Burgundy E349770 entity
Predicate capital P234 FINISHED
Object Dole E180721 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: Dole | Statement: [County of Burgundy, capital, Dole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dole
Context triple: [County of Burgundy, capital, Dole]
  • A. Dole chosen
    Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
  • B. Dole
    Dole is a surname most prominently associated with American politician and former U.S. Senator Bob Dole.
  • C. Dole
    Dole is a major American agricultural multinational best known for producing and marketing fresh fruits, vegetables, and packaged fruit products worldwide.
  • D. Dole-kun
    Dole-kun is the official mascot character of the Japanese professional football club Hokkaido Consadole Sapporo.
  • E. Papay
    Papay is a small settlement on the Orkney island of Papa Westray in Scotland.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e2c94c8190a16f05ea81701fc1 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe65129a588190bbad294b500f411f completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:55 a.m.