Triple

T7355374
Position Surface form Disambiguated ID Type / Status
Subject Port Credit E169610 entity
Predicate locatedAtMouthOf P165 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: [Port Credit, locatedAtMouthOf, Credit River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Credit River
Context triple: [Port Credit, locatedAtMouthOf, 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. North Bank
    North Bank was the famous home terrace and later all-seater stand behind the goal at Arsenal’s former Highbury stadium, renowned for its passionate supporters.
  • C. River Bank
    River Bank is the tranquil, natural riverside setting where Rat’s outdoor adventures unfold in Kenneth Grahame’s classic children’s novel "The Wind in the Willows."
  • D. 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.
  • E. Jefferson Valley
    Jefferson Valley is a residential hamlet within the town of Yorktown in Westchester County, New York.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f139505c8190a7158cf59a6e089e completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faa25960819084ecb6dbf9369ba5 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.