Triple

T14821383
Position Surface form Disambiguated ID Type / Status
Subject Daba Mountains E348459 entity
Predicate drainedBy P165 FINISHED
Object Jialing River E95071 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: Jialing River | Statement: [Daba Mountains, drainedBy, Jialing River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jialing River
Context triple: [Daba Mountains, drainedBy, Jialing River]
  • A. Jialing River chosen
    The Jialing River is a significant river in southwestern China that flows through Sichuan and Chongqing, contributing heavily to the region’s water resources, transportation, and ecology.
  • B. Luo River
    The Luo River is a significant tributary in central China that flows through Henan and Shaanxi provinces before joining the Yellow River.
  • C. Wu River
    The Wu River is a significant river in southwestern China known for flowing through deep gorges and contributing substantially to the Yangtze River system.
  • D. Luhan River
    The Luhan River is a waterway in eastern Ukraine that flows through the Luhansk region, including the town of Slavyanoserbsk.
  • E. Hunjiang River
    The Hunjiang River is a significant river in northeastern China that serves as a major tributary within the Yalu River basin.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe64328819083ce42704cf0602d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dbced588190ab7712c7ad50ee67 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:50 a.m.