Triple

T15425310
Position Surface form Disambiguated ID Type / Status
Subject Northeastern New York E369493 entity
Predicate includes P1393 FINISHED
Object Washington County E154164 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: Washington County | Statement: [Northeastern New York, includes, Washington County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Washington County
Context triple: [Northeastern New York, includes, Washington County]
  • A. Washington County
    Washington County was a former administrative subdivision of the District of Columbia that encompassed the area outside the cities of Washington and Georgetown on the Maryland side of the Potomac River.
  • B. Washington County chosen
    Washington County is a largely rural county in eastern New York State, known for its agricultural landscape and location along the Vermont border.
  • C. Washington County
    Washington County is a rural county in the Florida Panhandle known for its forests, waterways, and small-town communities.
  • D. Washington County
    Washington County is a county in southeastern Wisconsin that forms part of the suburban region northwest of Milwaukee.
  • E. Washington County
    Washington County is a county in northeastern Oklahoma, United States, known for its county seat Bartlesville and its role in the region’s oil industry history.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec1fb288190a3625b8e4f487dd1 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3aeb59c8190a39ccb4df7815ed0 completed May 9, 2026, 11:30 p.m.
Created at: April 10, 2026, 3:20 a.m.