Triple

T13382788
Position Surface form Disambiguated ID Type / Status
Subject Kings Norton E319358 entity
Predicate hasNearbyArea P4647 FINISHED
Object Northfield E324400 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: Northfield | Statement: [Kings Norton, hasNearbyArea, Northfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northfield
Context triple: [Kings Norton, hasNearbyArea, Northfield]
  • A. Northfield
    Northfield is a small village and community within the town of Litchfield in northwestern Connecticut, known for its rural character and New England charm.
  • B. Northfield chosen
    Northfield is a suburban area in the southwest of Birmingham, England, known for its residential neighborhoods and local amenities.
  • C. Northfield, Minnesota
    Northfield, Minnesota is a small college town in southeastern Minnesota known for its historic downtown, liberal arts colleges, and scenic setting along the Cannon River.
  • D. Northwood
    Northwood is a suburban London Underground station in the London Borough of Hillingdon, providing commuter rail services on the Metropolitan line.
  • E. Northwood
    Northwood is a small rural city located in Grand Forks County in northeastern North Dakota, United States.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.