Triple

T3047142
Position Surface form Disambiguated ID Type / Status
Subject Rome, New York E83476 entity
Predicate county P75 FINISHED
Object Oneida County E386691 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: Oneida County | Statement: [Rome, New York, county, Oneida County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oneida County
Context triple: [Rome, New York, county, Oneida County]
  • A. Oneida County chosen
    Oneida County is a county in central New York State, known for its seat in the city of Utica and its role as a regional economic and transportation hub.
  • B. Monroe County
    Monroe County is a rural county in southern West Virginia known for its scenic Appalachian landscapes, agriculture, and historic small towns.
  • C. Monroe County
    Monroe County is a rural county in southwestern Alabama known historically as the home of Monroeville, the hometown of author Harper Lee and a setting that inspired "To Kill a Mockingbird."
  • D. Monroe County
    Monroe County is a county in the U.S. state of Michigan located along the western shore of Lake Erie, south of Detroit.
  • E. Monroe County
    Monroe County is a large, sparsely populated county in southern Florida that includes the Florida Keys and portions of the mainland, known for its coastal ecosystems, tourism, and protected natural areas.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bad11b48190a5bd01e91a320e14 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5627344648190b2794d4e71524bf4 completed March 14, 2026, 1:28 p.m.
Created at: March 8, 2026, 3:01 p.m.