Triple

T584885
Position Surface form Disambiguated ID Type / Status
Subject Arabian Sea E15136 entity
Predicate hasInflow P967 FINISHED
Object Tapi River E187153 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: Tapi River | Statement: [Arabian Sea, hasInflow, Tapi River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapi River
Context triple: [Arabian Sea, hasInflow, Tapi River]
  • A. Tapi River chosen
    The Tapi River is a major west-flowing river in central India that traverses Maharashtra, Madhya Pradesh, and Gujarat before emptying into the Arabian Sea.
  • B. Arly River
    The Arly River is a mountain river in southeastern France that flows through the Savoie region before joining the Isère.
  • C. Coco River
    The Coco River is a major Central American river forming much of the border between Nicaragua and Honduras and flowing into the Caribbean Sea.
  • D. Banjar River
    The Banjar River is a significant tributary in central India that feeds into the Narmada River system.
  • E. Alafia River
    The Alafia River is a waterway in west-central Florida known for its scenic natural habitats, recreational activities like fishing and kayaking, and its role as a tributary of Tampa Bay.
  • 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_69ad717a95848190964e7cf1be92ad67 completed March 8, 2026, 12:54 p.m.
Created at: March 1, 2026, 7:33 p.m.