Triple

T9580511
Position Surface form Disambiguated ID Type / Status
Subject Main North Line E231156 entity
Predicate passesThroughRegion P3448 FINISHED
Object Marlborough E42883 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: [Main North Line, passesThroughRegion, Marlborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlborough
Context triple: [Main North Line, passesThroughRegion, Marlborough]
  • A. Marlborough
    Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
  • B. Marlborough
    Marlborough is a small New England town in central Connecticut known for its rural character and residential communities.
  • C. Marlborough chosen
    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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ca96a48190a6fbe88387be6883 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1616430808190afbe128d3199bf61 completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.