Triple

T6658788
Position Surface form Disambiguated ID Type / Status
Subject Ludgershall E151416 entity
Predicate locatedSouthOf P9676 FINISHED
Object Marlborough E211708 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: [Ludgershall, locatedSouthOf, Marlborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlborough
Context triple: [Ludgershall, locatedSouthOf, Marlborough]
  • A. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • B. Marlborough chosen
    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. Wilton
    Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • E. Wilton
    Wilton was a former UK parliamentary constituency in Wiltshire, historically represented in the House of Commons before its abolition in the 19th century.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0706514819087270d1c68866e2c completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef04fe608190b34cc53a54318826 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.