Triple

T1106374
Position Surface form Disambiguated ID Type / Status
Subject Kumbh Mela E25496 entity
Predicate heldAtRiver P165 FINISHED
Object Yamuna 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 | Statement: [Kumbh Mela, heldAtRiver, Yamuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamuna
Context triple: [Kumbh Mela, heldAtRiver, Yamuna]
  • 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. Sarayu
    Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
  • C. 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.
  • D. 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.
  • E. Swati
    Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bb75eec08190b1d6545e96816d34 completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fa73fe8819097bcd6c07793bc52 completed March 9, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:43 p.m.