Triple

T17843287
Position Surface form Disambiguated ID Type / Status
Subject Oatka Creek E445587 entity
Predicate flowsThrough P225 FINISHED
Object Warsaw, New York 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: Warsaw, New York | Statement: [Oatka Creek, flowsThrough, Warsaw, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warsaw, New York
Context triple: [Oatka Creek, flowsThrough, Warsaw, New York]
  • A. Warsaw, New York chosen
    Warsaw, New York is a small village in western New York State that serves as the administrative and commercial center of rural Wyoming County.
  • B. Potsdam, New York
    Potsdam, New York is a small town in St. Lawrence County known for hosting Clarkson University and SUNY Potsdam in the North Country region of the state.
  • C. Yorkville, New York
    Yorkville, New York is a small village in Oneida County that forms part of the Utica–Rome metropolitan area in central New York State.
  • D. Rome, New York
    Rome, New York is a small city in central New York State known historically as a strategic transportation and military hub, including its role in the Erie Canal and Fort Stanwix.
  • E. Dresden, New York
    Dresden, New York is a small village in Yates County situated on the shores of Seneca Lake in the Finger Lakes 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff8730881908cc8e1b572fa0af8 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.