Triple

T13207199
Position Surface form Disambiguated ID Type / Status
Subject Nan River E314394 entity
Predicate hasTributary P415 FINISHED
Object Yom 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: Yom River | Statement: [Nan River, hasTributary, Yom River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yom River
Context triple: [Nan River, hasTributary, Yom River]
  • A. Yom River chosen
    The Yom River is a major waterway in northern Thailand that flows southward through several provinces before joining other rivers that feed into the Chao Phraya River system.
  • B. Metuje River
    The Metuje River is a river in northeastern Bohemia that flows through the Hradec Králové Region of the Czech Republic, contributing to its local landscape and ecosystems.
  • C. Korang River
    Korang River is a stream in Pakistan that serves as a primary inflow to Rawal Lake near Islamabad.
  • D. Kuvam River
    Kuvam River is an alternative name for the Cooum River, a short but historically significant river flowing through the city of Chennai in the Indian state of Tamil Nadu.
  • E. Tyasmyn River
    The Tyasmyn River is a tributary of the Dnieper River in central Ukraine, flowing through the Cherkasy region and playing an important role in its local ecology and settlements.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
Created at: April 9, 2026, 9:17 p.m.