Triple

T2488531
Position Surface form Disambiguated ID Type / Status
Subject Rewa E55984 entity
Predicate hasMajorTributary P415 FINISHED
Object Banjar River E94427 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: Banjar River | Statement: [Rewa, hasMajorTributary, Banjar River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banjar River
Context triple: [Rewa, hasMajorTributary, Banjar River]
  • A. Banjar River chosen
    The Banjar River is a significant tributary in central India that feeds into the Narmada River system.
  • B. Binwa River
    Binwa River is a Himalayan river in northern India that flows through Himachal Pradesh as a significant tributary contributing to the Beas River system.
  • C. Clarillo River
    The Clarillo River is a significant watercourse in central Chile that feeds into the Maipo River and supports surrounding ecosystems and agriculture.
  • D. Nanay River
    The Nanay River is a tributary of the Amazon River in northern Peru, flowing through the Loreto Region and alongside the city of Iquitos.
  • E. Ninh Co River
    The Ninh Cơ River is a significant waterway in northern Vietnam that flows through Nam Định Province and plays an important role in local transportation, agriculture, and fisheries.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd179c44881909cd6c7626cadaf10 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b24ab711808190a7da65abdc663cb4 completed March 12, 2026, 5:10 a.m.
Created at: March 6, 2026, 9:45 p.m.