Triple

T14978477
Position Surface form Disambiguated ID Type / Status
Subject Changde Poetry Wall E373513 entity
Predicate locatedOn P40 FINISHED
Object Yuan River E205359 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: Yuan River | Statement: [Changde Poetry Wall, locatedOn, Yuan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuan River
Context triple: [Changde Poetry Wall, locatedOn, Yuan River]
  • A. Yuan River chosen
    The Yuan River is a major waterway in south-central China that flows through several provinces before joining the Yangtze River system.
  • B. Wen River
    The Wen River is a river in Shandong Province, China, that flows through the city of Tai'an and contributes to the region’s agriculture and water resources.
  • C. Xin River
    The Xin River is a major river in Jiangxi Province, China, that serves as one of the principal tributaries supplying water to Poyang Lake.
  • D. 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.
  • E. Chu River
    The Chu River is a waterway that serves as a tributary within the Ma River basin in Southeast Asia.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7d709fc8190990a72faf0af5ee3 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:51 a.m.