Triple

T16823703
Position Surface form Disambiguated ID Type / Status
Subject Obetz, Ohio E408960 entity
Predicate subdivisionName1 P12497 FINISHED
Object Franklin County E907203 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: Franklin County | Statement: [Obetz, Ohio, subdivisionName1, Franklin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franklin County
Context triple: [Obetz, Ohio, subdivisionName1, Franklin County]
  • A. Franklin County
    Franklin County is a largely rural county in northwestern Massachusetts known for its small towns, forests, and outdoor recreation along the Connecticut River.
  • B. Franklin County
    Franklin County is a county-level jurisdiction located in the U.S. state of Alabama.
  • C. Franklin County
    Franklin County is a rural county in northern New York State, located along the Canadian border and known for its small towns and portions of the Adirondack region.
  • D. Franklin County
    Franklin County is a county in North Carolina known for its mix of small towns, including Youngsville, and rural communities within the Research Triangle region.
  • E. Franklin County chosen
    Franklin County is a populous county in central Ohio that includes the state capital, Columbus, and its surrounding suburbs.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e838e881908b650194c9b94886 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79cdf9c8190aa20d536ca17ab81 completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:23 a.m.