Triple

T4953828
Position Surface form Disambiguated ID Type / Status
Subject Wilton Abbey E111232 entity
Predicate locatedIn P40 FINISHED
Object Wilton E218409 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: Wilton | Statement: [Wilton Abbey, locatedIn, Wilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilton
Context triple: [Wilton Abbey, locatedIn, Wilton]
  • A. Wilton
    Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • B. Wilton chosen
    Wilton was a former UK parliamentary constituency in Wiltshire, historically represented in the House of Commons before its abolition in the 19th century.
  • C. Wilton
    Wilton is a small New Hampshire town known for its rural character, historic mill village, and location along the Souhegan River.
  • D. Marlborough
    Marlborough is a small New England town in central Connecticut known for its rural character and residential communities.
  • E. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b82dd88190adfb08c3b3191fe0 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81da92b48190ab41ad8f7a891544 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:31 p.m.