Triple

T18982508
Position Surface form Disambiguated ID Type / Status
Subject Red–Thái Bình river system E464464 entity
Predicate hasPart P35 FINISHED
Object Lô 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: Lô River | Statement: [Red–Thái Bình river system, hasPart, Lô River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lô River
Context triple: [Red–Thái Bình river system, hasPart, Lô River]
  • A. Lô River chosen
    The Lô River is a significant river in northern Vietnam that flows through several provinces before joining the Red River system.
  • B. Tuo River
    The Tuo River is a significant river in Sichuan Province, China, flowing through the Chengdu region and serving as an important tributary of the upper Yangtze River.
  • C. Lừ River
    Lừ River is an urban waterway flowing through Hanoi, Vietnam, forming part of the city’s drainage and hydrological system.
  • D. Hieu River
    Hieu River is a tributary waterway in Vietnam that feeds into the larger Ca River system.
  • E. Indong River
    The Indong River is a watercourse in the Dooars region of West Bengal, India, that flows through and supports the ecosystem of Gorumara National Park.
  • 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.