Triple

T13414576
Position Surface form Disambiguated ID Type / Status
Subject Nanxi River E313177 entity
Predicate tributaryOf P415 FINISHED
Object Ou River E312558 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: Ou River | Statement: [Nanxi River, tributaryOf, Ou River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ou River
Context triple: [Nanxi River, tributaryOf, Ou River]
  • A. Ou River chosen
    The Ou River is a major river in southeastern China that flows through Zhejiang Province and empties into the East China Sea near the city of Wenzhou.
  • B. Luan River
    The Luan River is a major river in northern China that flows through Hebei Province and Inner Mongolia before emptying into the Bohai Sea.
  • C. Chu River
    The Chu River is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
  • D. Chu River
    The Chu River is a waterway that serves as a tributary within the Ma River basin in Southeast Asia.
  • E. Hai River
    The Hai River is a major river system in northern China that flows through the Beijing–Tianjin region into the Bohai Sea, playing a crucial role in regional water supply, agriculture, and transportation.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05a6d808190bae503b177816718 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:39 p.m.