Triple

T15572070
Position Surface form Disambiguated ID Type / Status
Subject Westchester Creek E374269 entity
Predicate watercourseThrough P165 FINISHED
Object Unionport E921760 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: Unionport | Statement: [Westchester Creek, watercourseThrough, Unionport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unionport
Context triple: [Westchester Creek, watercourseThrough, Unionport]
  • A. Unionport chosen
    Unionport is a residential neighborhood in the East Bronx of New York City, characterized by its mix of apartment buildings, row houses, and proximity to major thoroughfares.
  • B. Unienville
    Unienville is a small commune in the Aube department of north-central France.
  • C. Wallaceville
    Wallaceville is a residential suburb located within the Hutt Valley region near Wellington, New Zealand.
  • D. Paynesville
    Paynesville is a major city in Liberia, located near the capital Monrovia and known for its role as a key urban and sporting center in the country.
  • E. Comeauville
    Comeauville is a small rural community located in the Municipality of Clare in Digby County, Nova Scotia, known for its Acadian heritage.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2025888190a2b6240296bba13e completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4767e48190a180062688cdc245 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.