Triple

T10900995
Position Surface form Disambiguated ID Type / Status
Subject Oxford Township, Delaware County, Ohio E257439 entity
Predicate hasName P744 FINISHED
Object Oxford Township E896013 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: Oxford Township | Statement: [Oxford Township, Delaware County, Ohio, hasName, Oxford Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford Township
Context triple: [Oxford Township, Delaware County, Ohio, hasName, Oxford Township]
  • A. Oxford Township
    Oxford Township is a civil township located in Erie County, Ohio, United States.
  • B. Oxford Township chosen
    Oxford Township is a civil township located in Delaware County, Ohio, United States.
  • C. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • D. St. Clair Township
    St. Clair Township is a municipality in southwestern Ontario, Canada, located along the St. Clair River south of the city of Sarnia.
  • E. Sylvania Township
    Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2f02881908b70be6499dd8d98 completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6ec38408190929b5e60a9a3e81e completed April 18, 2026, 12:57 a.m.
Created at: April 8, 2026, 9:22 p.m.