Triple

T2540280
Position Surface form Disambiguated ID Type / Status
Subject UTM E56367 entity
Predicate locatedOn P40 FINISHED
Object Credit River E56368 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: Credit River | Statement: [UTM, locatedOn, Credit River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Credit River
Context triple: [UTM, locatedOn, Credit River]
  • A. Credit River chosen
    Credit River is a river in southern Ontario, Canada, that flows through several communities including Mississauga before emptying into Lake Ontario.
  • B. Real River
    Real River is a watercourse in the Brazilian state of Sergipe, known for flowing through the northeastern region of the country and contributing to local ecosystems and communities.
  • C. Jefferson Valley
    Jefferson Valley is a residential hamlet within the town of Yorktown in Westchester County, New York.
  • D. Riverbank
    Riverbank is a small city in California’s Central Valley known for its agricultural surroundings and suburban residential character.
  • E. River Bure
    The River Bure is a river in Norfolk, England, that flows through the Norfolk Broads before reaching the North Sea near Great Yarmouth.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29c6b508190aff020d370af3aa6 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cff8d188190844b177b5d3952b0 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.