Triple

T4426899
Position Surface form Disambiguated ID Type / Status
Subject Penobscot River E95230 entity
Predicate locatedInCounty P40 FINISHED
Object Hancock County E360327 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: Hancock County | Statement: [Penobscot River, locatedInCounty, Hancock County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hancock County
Context triple: [Penobscot River, locatedInCounty, Hancock County]
  • A. Hancock County
    Hancock County is a county in central Indiana, United States, located just east of Indianapolis and known for its mix of suburban communities and rural farmland.
  • B. Hancock County chosen
    Hancock County is a coastal county in Maine known for encompassing much of Acadia National Park and the popular tourist town of Bar Harbor.
  • C. Harrison County
    Harrison County is a rural county in western Iowa known for its agricultural landscape, small communities, and location along the Missouri River.
  • D. Harrison County
    Harrison County is a coastal county in southern Mississippi known for its tourism, casinos, and the cities of Biloxi and Gulfport.
  • E. Marshall County
    Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554fb28081909018eaecc0c5c230 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69be777f287c81909f700e22163ccc24 completed March 21, 2026, 10:48 a.m.
Created at: March 12, 2026, 11:30 p.m.