Triple

T7365078
Position Surface form Disambiguated ID Type / Status
Subject Allahabad Division E169849 entity
Predicate river 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: [Allahabad Division, river, Yamuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamuna
Context triple: [Allahabad Division, river, 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. Mata Ganga
    Mata Ganga was the wife of the fifth Sikh Guru, Guru Arjan Dev, and the mother of Guru Hargobind, playing a respected role in early Sikh history.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f161d76081909da6d698fb3d8bb1 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c97ca3d5e0819097e904184202b75f completed March 29, 2026, 7:25 p.m.
Created at: March 27, 2026, 3:06 p.m.