Triple

T9769088
Position Surface form Disambiguated ID Type / Status
Subject Bromyard E237072 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Winslow E593411 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: Winslow | Statement: [Bromyard, hasNearbySettlement, Winslow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winslow
Context triple: [Bromyard, hasNearbySettlement, 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 chosen
    Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
  • C. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • D. Milford
    Milford is a New Hampshire town in Hillsborough County known historically for its mill industry and its location along the Souhegan River.
  • E. Milford
    Milford is a small unincorporated community located in rural Lassen County in northeastern California.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f0c64c81908f3435dd49c0218b completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4154af081908ca743b43ade83c7 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:26 p.m.