Triple

T9415128
Position Surface form Disambiguated ID Type / Status
Subject Pinot E226998 entity
Predicate notableRegion P22 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: [Pinot, notableRegion, Marlborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlborough
Context triple: [Pinot, notableRegion, Marlborough]
  • A. Marlborough chosen
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • B. Marlborough
    Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
  • C. Marlborough
    Marlborough is a small New England town in central Connecticut known for its rural character and residential communities.
  • 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 town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c7bd648190b17f082883c98239 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107baad74819090a746c06feb28ac completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.