Triple

T13081244
Position Surface form Disambiguated ID Type / Status
Subject Ping River E310210 entity
Predicate confluenceWith P2416 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: [Ping River, confluenceWith, Nan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nan River
Context triple: [Ping River, confluenceWith, 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. La Ngà River
    La Ngà River is a significant waterway in southern Vietnam that flows through several provinces and contributes to the Đồng Nai River basin’s agriculture, fisheries, and hydropower.
  • E. 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.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:01 p.m.