Triple

T12497078
Position Surface form Disambiguated ID Type / Status
Subject New London, Ohio E298718 entity
Predicate hasFullName P16 FINISHED
Object New London, Ohio E298718 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: New London, Ohio | Statement: [New London, Ohio, hasFullName, New London, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New London, Ohio
Context triple: [New London, Ohio, hasFullName, New London, Ohio]
  • A. New London, Ohio chosen
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • B. Wilmington, Ohio
    Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
  • C. Bridgeport, Ohio
    Bridgeport, Ohio is a small village in eastern Ohio along the Ohio River, forming part of the Wheeling, West Virginia metropolitan area.
  • D. New Haven, Ohio
    New Haven, Ohio is an unincorporated community and census-designated place in Huron County known historically as a small rural settlement in north-central Ohio.
  • E. Whitehouse, Ohio
    Whitehouse, Ohio is a small village in northwest Ohio known for its suburban-rural character and proximity to the city of Toledo.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232149f88190b385fca6a7588d7b completed May 11, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:57 p.m.