Triple

T791370
Position Surface form Disambiguated ID Type / Status
Subject Agra E16921 entity
Predicate locatedOnRiver P165 FINISHED
Object Yamuna River E6360 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: Yamuna River | Statement: [Agra, locatedOnRiver, Yamuna River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamuna River
Context triple: [Agra, locatedOnRiver, Yamuna River]
  • A. Yamuna chosen
    Yamuna is a major sacred river of northern India, flowing through cities like Delhi and Agra and serving as a key tributary of the Ganges.
  • B. Betwa River
    The Betwa River is a major river in central India that flows through Madhya Pradesh and Uttar Pradesh before joining the Yamuna, supporting irrigation, agriculture, and several historic cities along its course.
  • C. Sarayu
    Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
  • D. Krishna River
    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.
  • E. Gomti
    Gomti is a significant river in northern India that flows through the state of Uttar Pradesh, including the city of Lucknow, before joining the Ganges.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a798c7608190b9c79c52a1fe0859 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a93395f2d8819082d622d1d6415073 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:38 p.m.