Triple

T16936850
Position Surface form Disambiguated ID Type / Status
Subject Te Moana-o-Raukawa E410850 entity
Predicate isBetween P1262 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: [Te Moana-o-Raukawa, isBetween, Marlborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlborough
Context triple: [Te Moana-o-Raukawa, isBetween, 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
    Marlborough is a residential area within the London Borough of Harrow, situated in the Harrow West parliamentary constituency.
  • D. Marlborough chosen
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2adf448190ab0dbebb3addbd80 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe5210c8190873be6ccf2369b34 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.