Triple

T7973595
Position Surface form Disambiguated ID Type / Status
Subject Rice Lake E185386 entity
Predicate outflow P967 FINISHED
Object Trent River E139985 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: Trent River | Statement: [Rice Lake, outflow, Trent River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trent River
Context triple: [Rice Lake, outflow, Trent River]
  • A. Trent River
    The Trent River is a waterway in eastern North Carolina that flows through New Bern before joining the Neuse River.
  • B. Trent River chosen
    The Trent River is a river in Ontario, Canada, that forms part of the Trent–Severn Waterway and drains into Lake Ontario.
  • C. Plenty River
    The Plenty River is a waterway in Victoria, Australia, that flows through Melbourne’s northeastern suburbs before joining the Yarra River.
  • D. Tüp River
    The Tüp River is a mountain river in northeastern Kyrgyzstan that flows into Lake Issyk-Kul, contributing to the lake’s freshwater inflow.
  • E. Rat River
    Rat River is a smaller waterway in Manitoba, Canada, that feeds into the larger Nelson River system.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf319648190a900b133d58bd02b completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02f04ab008190a4c98a8f00ec4c20 completed April 3, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:13 p.m.