Triple

T11687512
Position Surface form Disambiguated ID Type / Status
Subject Northwestern India E277780 entity
Predicate hasMajorRiver P165 FINISHED
Object Beas River E18137 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: Beas River | Statement: [Northwestern India, hasMajorRiver, Beas River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beas River
Context triple: [Northwestern India, hasMajorRiver, 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. 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.
  • E. Panjkora River
    The Panjkora River is a scenic mountain river in Pakistan’s Khyber Pakhtunkhwa province, known for flowing through the lush, forested landscapes of Kumrat Valley and supporting local agriculture and tourism.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4654be881909bd0256cf18e25de completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1303147948190b8d3b72529d23842 completed April 28, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:40 p.m.