Triple

T10253793
Position Surface form Disambiguated ID Type / Status
Subject Hurricanes E240409 entity
Predicate formerRegionRepresented P27947 FINISHED
Object Marlborough E292969 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: Marlborough | Statement: [Hurricanes, formerRegionRepresented, Marlborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlborough
Context triple: [Hurricanes, formerRegionRepresented, Marlborough]
  • A. Marlborough
    Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
  • B. Marlborough chosen
    Marlborough is a small New England town in central Connecticut known for its rural character and residential communities.
  • C. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • D. Marlborough
    Marlborough is a residential area within the London Borough of Harrow, situated in the Harrow West parliamentary constituency.
  • E. Wilton
    Wilton is a suburban town in Fairfield County, southwestern Connecticut, known for its affluent residential character, strong public schools, and wooded, semi-rural landscape.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfbfa26c8190b536655d33112ddf completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7cec62c819083e493e0fc7c65b5 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:29 a.m.