Triple

T13335854
Position Surface form Disambiguated ID Type / Status
Subject Iron County E317689 entity
Predicate borders P224 FINISHED
Object Washington County unclear NED1 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: [Iron County, borders, Washington County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington County
Context triple: [Iron County, borders, Washington County]
  • A. Washington County
    Washington County is a county in southwestern Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
  • B. 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.
  • C. Washington County
    Washington County is a largely rural county in eastern New York State, known for its agricultural landscape and location along the Vermont border.
  • 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. chosen

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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd3237ccf88190974ff1a49c3a874b completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 9:30 p.m.