Triple

T23519510
Position Surface form Disambiguated ID Type / Status
Subject Mount Li E574463 entity
Predicate locatedNear P294 FINISHED
Object Wei River NE NERFINISHED

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: Wei River | Statement: [Mount Li, locatedNear, Wei River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wei River
Context triple: [Mount Li, locatedNear, Wei River]
  • A. Wei River chosen
    The Wei River is a major river in north-central China that flows through the historical heartland of ancient Chinese civilization and serves as a key tributary in the Yellow River basin.
  • B. Huai River
    The Huai River is a major river in eastern China that historically served as a key geographical and cultural boundary between northern and southern China.
  • C. Rehe River
    Rehe River is a historically significant river in northeastern China that gave its name to the former Rehe (Jehol) province and nearby imperial resort areas.
  • D. Chaobai River
    The Chaobai River is a major river in northern China that flows through Hebei Province and Beijing, contributing significantly to the Hai River basin and regional water resources.
  • E. Anyang River
    The Anyang River is a waterway in Henan Province, China, that flows through the city of Anyang and contributes to its regional agriculture and ecology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa84fe7c8190aa1078a118af7d61 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.