Triple

T18658126
Position Surface form Disambiguated ID Type / Status
Subject Pandoh E456119 entity
Predicate locatedOnRiver P165 FINISHED
Object Beas 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: Beas River | Statement: [Pandoh, locatedOnRiver, Beas River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beas River
Context triple: [Pandoh, locatedOnRiver, Beas River]
  • A. Beas River chosen
    The Beas River is a major river in northern India that flows through the state of Punjab, playing a vital role in its agriculture and ecology.
  • B. Panj River
    The Panj River is a significant Central Asian waterway that forms much of the border between Tajikistan and Afghanistan and serves as a principal headstream of the Amu Darya.
  • C. Bhera River
    The Bhera River is a significant tributary watercourse that feeds into eastern India’s Damodar River system.
  • D. Panjnad River
    The Panjnad River is a major waterway in Pakistan formed by the confluence of five rivers of the Punjab region, ultimately flowing into the Indus River.
  • E. Khasa River
    The Khasa River is a seasonal river in northern Iraq that flows through the city of Kirkuk and serves as one of its main waterways.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55087ae8081909cb4c0ce6c809d55 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.