Triple

T22121616
Position Surface form Disambiguated ID Type / Status
Subject banks of the Sai River E546684 entity
Predicate adjacentTo P224 FINISHED
Object Sai River NE NERFINISHED

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: Sai River | Statement: [banks of the Sai River, adjacentTo, Sai River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sai River
Context triple: [banks of the Sai River, adjacentTo, Sai River]
  • A. Sai River
    The Sai River is a Japanese river that serves as a significant tributary within the Shinano River system, contributing to the hydrology of central Honshu.
  • B. Sai River chosen
    The Sai River is a river in northern India that flows through the state of Uttar Pradesh and joins the Gomti River.
  • C. Oria River
    The Oria River is a significant waterway in the Basque Country of northern Spain, flowing through Gipuzkoa before emptying into the Bay of Biscay.
  • D. Banjar River
    The Banjar River is a significant tributary in central India that feeds into the Narmada River system.
  • E. Sei River
    The Sei River is a smaller watercourse in western India that feeds into the Sabarmati River within the arid and semi-arid landscape of Rajasthan and Gujarat.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1297e7e188190873924403421caa2 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.