Triple

T4431940
Position Surface form Disambiguated ID Type / Status
Subject Mula River E95350 entity
Predicate confluenceWith P2416 FINISHED
Object Mutha River E155300 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: Mutha River | Statement: [Mula River, confluenceWith, Mutha River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutha River
Context triple: [Mula River, confluenceWith, Mutha River]
  • A. Mutha River chosen
    The Mutha River is a major river in the Indian state of Maharashtra that flows through the city of Pune and plays a key role in its water supply and landscape.
  • B. Murung River
    The Murung River is a tributary waterway in central Kalimantan, Indonesia, that feeds into the larger Barito River system.
  • C. Banas River
    The Banas River is a significant river in northwestern India that flows through Rajasthan as a major tributary of the Chambal River.
  • D. Hathmati River
    The Hathmati River is a tributary river in the Indian state of Gujarat that feeds into the larger Sabarmati River system.
  • E. Marico River
    The Marico River is a significant watercourse in southern Africa that forms part of the upper reaches of the Limpopo River system.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3556cd83881908547aa311c4f17fa completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69c6636635c481908482c3a7e7cf311b completed March 27, 2026, 11 a.m.
Created at: March 12, 2026, 11:31 p.m.