Triple

T3697505
Position Surface form Disambiguated ID Type / Status
Subject Tamsui River E78493 entity
Predicate tributary P415 FINISHED
Object Keelung River E78642 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: Keelung River | Statement: [Tamsui River, tributary, Keelung River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keelung River
Context triple: [Tamsui River, tributary, Keelung River]
  • A. Keelung River chosen
    The Keelung River is a major river in northern Taiwan that flows through the Taipei metropolitan area before joining the Tamsui River and emptying into the Taiwan Strait.
  • B. Tamsui River
    The Tamsui River is a major river in northern Taiwan that flows through the Taipei metropolitan area before emptying into the Taiwan Strait.
  • C. Dong River
    The Dong River is a significant river in southern China that serves as one of the main tributaries feeding the Pearl River system and supporting the densely populated Pearl River Delta region.
  • D. Shenzhen River
    The Shenzhen River is a boundary river in southern China that forms part of the border between Hong Kong and the city of Shenzhen.
  • E. Guandu River
    The Guandu River is a crucial waterway in Brazil that serves as the primary source of drinking water for much of the metropolitan region of Rio de Janeiro.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc5115ad8819085ffa938de3943f4 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5120d23f481908f71e291c089505c completed March 14, 2026, 7:45 a.m.
Created at: March 8, 2026, 3:26 p.m.