Triple

T15252733
Position Surface form Disambiguated ID Type / Status
Subject Nu River E364558 entity
Predicate hasTributary P415 FINISHED
Object Pai 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: Pai River | Statement: [Nu River, hasTributary, Pai River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pai River
Context triple: [Nu River, hasTributary, Pai River]
  • A. Nam Pua River
    Nam Pua River is a tributary watercourse in northern Thailand that feeds into the Nan River within the Chao Phraya River basin.
  • B. Neia River
    The Neia River is a smaller watercourse in Russia that serves as a tributary within the Unzha River basin.
  • C. Ong River
    Ong River is a tributary of the Mahanadi River in eastern India, flowing primarily through the state of Odisha and supporting regional agriculture and settlements along its course.
  • D. Moei River chosen
    The Moei River is a transboundary river in Southeast Asia that forms part of the natural border between Thailand and Myanmar.
  • E. Tuy River
    The Tuy River is a significant river in northern Venezuela that flows through the Miranda state and supports nearby cities such as Ocumare del Tuy.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f728648190b2c86e4528542b65 completed April 15, 2026, 9:49 p.m.
Created at: April 10, 2026, 3:13 a.m.