Triple

T15378531
Position Surface form Disambiguated ID Type / Status
Subject Lishui E367736 entity
Predicate hasMajorRiver P165 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: [Lishui, hasMajorRiver, Ou River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ou River
Context triple: [Lishui, hasMajorRiver, 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e6044488190b0499db109f7f821 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3eb6388190ba269350dbe7dfbc completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:19 a.m.