Triple

T1207238
Position Surface form Disambiguated ID Type / Status
Subject Xi'an E25916 entity
Predicate river P165 FINISHED
Object Wei River E106569 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: Wei River | Statement: [Xi'an, river, Wei River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wei River
Context triple: [Xi'an, river, 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. Liao River
    The Liao River is a major river in northeastern China that flows through the historical region of Manchuria before emptying into the Bohai Sea.
  • D. Sunzha River
    The Sunzha River is a significant waterway in the North Caucasus that flows through Chechnya and neighboring regions, serving as an important tributary of the Terek River.
  • E. Liu River
    The Liu River is a significant river in the Guangxi Zhuang Autonomous Region of southern China, known for flowing through the industrial city of Liuzhou and contributing to the region’s transportation and economy.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc483b481908e5bfef5d2f4fc5a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad4682bac88190a25bcc211179296d completed March 8, 2026, 9:50 a.m.
Created at: March 1, 2026, 7:46 p.m.