Triple

T7490496
Position Surface form Disambiguated ID Type / Status
Subject Northern Thailand E176992 entity
Predicate majorRiver P165 FINISHED
Object Nan River E314394 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: Nan River | Statement: [Northern Thailand, majorRiver, Nan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nan River
Context triple: [Northern Thailand, majorRiver, Nan River]
  • A. Nan River chosen
    The Nan River is a major river in northern Thailand that flows southward to form one of the principal headwaters of the Chao Phraya River system.
  • B. 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.
  • C. Ngadda River
    The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
  • D. Bago River
    The Bago River is a significant waterway in southern Myanmar that flows near the city of Bago and joins the Yangon River system, contributing to the region’s transport and agriculture.
  • E. Unga River
    The Unga River is a lesser-known river in Irkutsk Oblast, Russia, forming part of the Kirenga River basin within the broader Lena River watershed in Siberia.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f55bdb3481908653b46eafba011d completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf9fc6bff48190b2f73e4c8c8b627a completed April 3, 2026, 11:08 a.m.
Created at: March 27, 2026, 3:43 p.m.