Triple

T12118169
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Wapakoneta E288619 entity
Predicate namedAfter P63 FINISHED
Object Wapakoneta E525467 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: Wapakoneta | Statement: [Treaty of Wapakoneta, namedAfter, Wapakoneta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wapakoneta
Context triple: [Treaty of Wapakoneta, namedAfter, Wapakoneta]
  • A. Wapakoneta, Ohio chosen
    Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
  • B. Piqua, Ohio
    Piqua, Ohio is a small city in western Ohio known for its historic downtown, manufacturing heritage, and location along the Great Miami River.
  • C. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • D. Piketon, Ohio
    Piketon, Ohio is a small village in southern Ohio best known for hosting the Portsmouth Gaseous Diffusion Plant, a major former uranium enrichment facility.
  • E. Hudson, Ohio
    Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915760d208190b68f5e024b3676ba completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006ec7a4748190822e66a756bc95b9 completed May 10, 2026, 11:40 a.m.
Created at: April 8, 2026, 9:49 p.m.