Triple

T584888
Position Surface form Disambiguated ID Type / Status
Subject Arabian Sea E15136 entity
Predicate hasInflow P967 FINISHED
Object Zuari River E89688 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: Zuari River | Statement: [Arabian Sea, hasInflow, Zuari River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuari River
Context triple: [Arabian Sea, hasInflow, Zuari River]
  • A. Zuari River chosen
    The Zuari River is one of the major rivers of the Indian state of Goa, serving as an important waterway and supporting the region’s ecology and economy.
  • B. Marico River
    The Marico River is a significant watercourse in southern Africa that forms part of the upper reaches of the Limpopo River system.
  • C. Sura River
    The Sura River is a significant river in western Russia that flows through the Volga Upland and several regions before joining the Volga River.
  • D. Shashe River
    The Shashe River is a significant watercourse in southern Africa that flows through Botswana and Zimbabwe before joining the Limpopo River.
  • E. Daule River
    The Daule River is a major river in western Ecuador that flows through agricultural regions and urban areas before joining other waterways to form the Guayas 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9874c88190bd1e08d4689ea124 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bf512bc81908ff403ce87337a0d completed March 7, 2026, 4:01 p.m.
Created at: March 1, 2026, 7:33 p.m.