Triple

T7990027
Position Surface form Disambiguated ID Type / Status
Subject Leicestershire E185975 entity
Predicate contains P35 FINISHED
Object Hinckley E168604 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: Hinckley | Statement: [Leicestershire, contains, Hinckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinckley
Context triple: [Leicestershire, contains, Hinckley]
  • A. Hinckley chosen
    Hinckley is a market town in southwest Leicestershire, England, known historically for its hosiery industry and its location between Coventry and Leicester.
  • B. Hinckley
    Hinckley is a small town in central Utah, United States, known for its rural agricultural setting and proximity to the Sevier Desert.
  • C. Mansfield
    Mansfield is a large market town in Nottinghamshire, England, known historically for its coal mining industry and proximity to Sherwood Forest.
  • D. Mansfield
    Mansfield is a town in southeastern Massachusetts known for its residential communities and the Xfinity Center outdoor concert venue.
  • E. Mansfield
    Mansfield is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:16 p.m.