Triple

T5507385
Position Surface form Disambiguated ID Type / Status
Subject Shirebrook E144473 entity
Predicate nearbyTown P3883 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: [Shirebrook, nearbyTown, Mansfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mansfield
Context triple: [Shirebrook, nearbyTown, 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. Mansfield
    Mansfield is a small borough in northern Pennsylvania known for its rural setting and the presence of Mansfield University of Pennsylvania.
  • E. Stafford
    Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f495c588190b0cfe5bfb3d2c221 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cb487408190af6f4f2b3a8543c1 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:32 p.m.