Triple

T23369079
Position Surface form Disambiguated ID Type / Status
Subject Winslow Hall E593411 entity
Predicate locatedIn P40 FINISHED
Object Winslow 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: Winslow | Statement: [Winslow Hall, locatedIn, Winslow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winslow
Context triple: [Winslow Hall, locatedIn, Winslow]
  • A. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • B. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • C. Winslow chosen
    Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
  • D. Winslow
    Winslow is a small town in central Maine known for its historic sites, including the nearby Fort Halifax, and its location along the Kennebec River.
  • E. Milford
    Milford is a small town located within Otsego County in the central region of New York State.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aed374819097d38f51894bee44 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.