Triple

T6839496
Position Surface form Disambiguated ID Type / Status
Subject Kauriala E157534 entity
Predicate alternativeNameOf P39 FINISHED
Object Ghaghara E28899 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: Ghaghara | Statement: [Kauriala, alternativeNameOf, Ghaghara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghaghara
Context triple: [Kauriala, alternativeNameOf, Ghaghara]
  • A. Ghaghara chosen
    Ghaghara is a major Himalayan river in northern India and Nepal that significantly contributes to the flow of the Ganges.
  • B. Jamuna River
    The Jamuna River is the main distributary channel of the Brahmaputra in Bangladesh, forming one of the country’s largest and most dynamic river systems.
  • C. Subarnarekha River
    The Subarnarekha River is a significant river in eastern India that flows through the states of Jharkhand, West Bengal, and Odisha before emptying into the Bay of Bengal.
  • D. Jamuna
    Jamuna is an alternative name for the Yamuna, one of the major sacred rivers of northern India that flows through cities such as Delhi and Agra.
  • E. Brahmani River
    The Brahmani River is a major river in eastern India that flows through the state of Odisha, supporting regional agriculture, industry, and ecosystems before emptying into the Bay of Bengal.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b2ee248190991c3e827be75bb7 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fb02e0c8190ae1514875e03208a completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:19 p.m.