Triple

T2405561
Position Surface form Disambiguated ID Type / Status
Subject Loreto Region E50268 entity
Predicate traversedByRiver P165 FINISHED
Object Nanay River E241498 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: Nanay River | Statement: [Loreto Region, traversedByRiver, Nanay River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanay River
Context triple: [Loreto Region, traversedByRiver, Nanay River]
  • A. Nanay River chosen
    The Nanay River is a tributary of the Amazon River in northern Peru, flowing through the Loreto Region and alongside the city of Iquitos.
  • 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. Nyamiha River
    The Nyamiha River is a small, historically significant waterway in Minsk, Belarus, now largely confined to underground culverts beneath the city.
  • D. Sonai River
    The Sonai River is a tributary waterway in northeastern India that feeds into the larger Barak River system.
  • E. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69b67b92d4dc81908a26a977bc25319c completed March 15, 2026, 9:27 a.m.
Created at: March 4, 2026, 7:58 p.m.