Triple

T4361637
Position Surface form Disambiguated ID Type / Status
Subject Hucknall E98675 entity
Predicate near P350 FINISHED
Object Mansfield E104984 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: Mansfield | Statement: [Hucknall, near, Mansfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mansfield
Context triple: [Hucknall, near, Mansfield]
  • A. Mansfield chosen
    Mansfield is a large market town in Nottinghamshire, England, known historically for its coal mining industry and proximity to Sherwood Forest.
  • B. Mansfield
    Mansfield is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas, known for its residential communities, schools, and family-oriented amenities.
  • C. Mansfield
    Mansfield is a town in southeastern Massachusetts known for its residential communities and the Xfinity Center outdoor concert venue.
  • D. Stafford
    Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
  • E. Stafford
    Stafford is a historic market town in Staffordshire, England, known for its medieval castle, role as the county town, and long-standing regional administrative importance.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e47d388190b31500189577cd75 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc357988190a2982a86847e2c42 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:16 p.m.