Triple

T11664802
Position Surface form Disambiguated ID Type / Status
Subject Credit Valley watershed E277221 entity
Predicate drainedBy 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: [Credit Valley watershed, drainedBy, Credit River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Credit River
Context triple: [Credit Valley watershed, drainedBy, 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. Riggs Bank
    Riggs Bank was a historic Washington, D.C.–based financial institution long known as the “bank of presidents” for its prominent political and diplomatic clientele.
  • C. 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.
  • D. 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."
  • E. Bank of River Siren
    Bank of River Siren is a riverside area or settlement associated with the town of Battagram in Pakistan’s Khyber Pakhtunkhwa province.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d3a64c819099f398ea22c8c180 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280acab488190b1a912dc0e82bc44 completed April 29, 2026, 10:05 p.m.
Created at: April 8, 2026, 9:39 p.m.