Triple

T22264273
Position Surface form Disambiguated ID Type / Status
Subject Rochester and Strood E550307 entity
Predicate hasMajorSettlement P316 FINISHED
Object Wainscott NE NERFINISHED

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: Wainscott | Statement: [Rochester and Strood, hasMajorSettlement, Wainscott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wainscott
Context triple: [Rochester and Strood, hasMajorSettlement, Wainscott]
  • A. Wainscott
    Wainscott is a small, affluent hamlet on the South Fork of Long Island, New York, known for its beaches, farmland, and upscale residential character.
  • B. Wainscott chosen
    Wainscott is a village and residential area in Medway, Kent, England, situated near the town of Strood.
  • C. Amagansett
    Amagansett is a small seaside hamlet in the town of East Hampton on Long Island, New York, known for its beaches, historic character, and summer community.
  • D. Cutchogue
    Cutchogue is a small hamlet and wine-country community on the North Fork of Long Island in Suffolk County, New York.
  • E. Middleburgh, New York
    Middleburgh, New York is a small historic village in Schoharie County known for its rural character, scenic valley setting, and role as a local hub in New York’s Leatherstocking region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141ba5c9481909e24067133918ae2 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.