Triple

T545039
Position Surface form Disambiguated ID Type / Status
Subject George Stephenson E12713 entity
Predicate residence P75 FINISHED
Object Chesterfield E73869 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: Chesterfield | Statement: [George Stephenson, residence, Chesterfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chesterfield
Context triple: [George Stephenson, residence, Chesterfield]
  • A. Chesterfield chosen
    Chesterfield is a historic market town in Derbyshire, England, best known for its distinctive crooked church spire and its role in the region’s industrial development.
  • B. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • C. Chester
    Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
  • D. Chester
    Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
  • E. Cheshire
    Cheshire is a ceremonial and historic county in North West England known for its rural landscapes, affluent towns, and production of Cheshire cheese.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dfec5c81908b76d723b30dc2f0 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c214088190963746dcb402b0b1 completed March 2, 2026, 4:57 a.m.
Created at: March 1, 2026, 7:32 p.m.