Triple

T18982509
Position Surface form Disambiguated ID Type / Status
Subject Red–Thái Bình river system E464464 entity
Predicate hasPart P35 FINISHED
Object Đà River — NE NERFINISHED

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: Đà River | Statement: [Red–Thái Bình river system, hasPart, Đà River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Đà River
Context triple: [Red–Thái Bình river system, hasPart, Đà River]
  • A. Đà River chosen
    The Đà River is a major river in northwestern Vietnam, known for feeding the Hòa Bình hydropower plant and contributing significantly to the Red River system.
  • B. Cea River
    The Cea River is a tributary watercourse in northwestern Spain that flows through the provinces of León and Valladolid before joining the Douro River system.
  • C. Qu River
    The Qu River is a tributary waterway in southwestern China that feeds into the larger Jialing River system.
  • D. Gianh River
    The Gianh River is a historically significant river in central Vietnam, known as a former boundary between northern and southern regions of the country.
  • E. Loa River
    The Loa River is the longest river in Chile, flowing in a great arc through the Atacama Desert to the Pacific Ocean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65d27548190b86d4c5f5b51d809 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.