Triple

T19752998
Position Surface form Disambiguated ID Type / Status
Subject Andhra E474428 entity
Predicate associatedWithRiverValleys P56551 FINISHED
Object Krishna 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: Krishna River | Statement: [Andhra, associatedWithRiverValleys, Krishna River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krishna River
Context triple: [Andhra, associatedWithRiverValleys, Krishna River]
  • A. Krishna River chosen
    The Krishna River is one of the major rivers of southern India, flowing through Maharashtra, Karnataka, Telangana, and Andhra Pradesh before emptying into the Bay of Bengal.
  • B. Krishni River
    The Krishni River is a minor river in northern India that flows through parts of Uttar Pradesh and Haryana before joining the Hindon River.
  • C. Siva River
    The Siva River is a tributary waterway in Russia that feeds into the Kama River within the Volga basin.
  • D. Chandra River
    The Chandra River is a glacially fed mountain river in the Lahaul region of Himachal Pradesh, India, that flows through high-altitude valleys before joining the Bhaga River to help form the Chenab.
  • E. Ranganadi River
    The Ranganadi River is a significant tributary of the Brahmaputra in northeastern India, flowing through Arunachal Pradesh and Assam and supporting irrigation, hydropower, and local ecosystems.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529bcb8c8190bcca61a53be86757 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.