Triple

T8006263
Position Surface form Disambiguated ID Type / Status
Subject Erlitou site E186370 entity
Predicate near P350 FINISHED
Object Luo River E109232 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: Luo River | Statement: [Erlitou site, near, Luo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luo River
Context triple: [Erlitou site, near, Luo River]
  • A. Luo River chosen
    The Luo River is a significant tributary in central China that flows through Henan and Shaanxi provinces before joining the Yellow River.
  • B. Jialing River
    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.
  • C. Lancang River
    The Lancang River is the upper course of the Mekong River, flowing through China’s Yunnan Province before continuing into Southeast Asia as one of the region’s most important waterways.
  • D. Lei River
    The Lei River is a significant river in southern China that flows through Hunan Province and serves as an important waterway within the Xiang River system.
  • E. Cao River
    The Cao River is a waterway flowing through Qingpu District in Shanghai, China, contributing to the region’s local drainage and landscape.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf72fc08190aa78b97c1ab92f90 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1c750c7c81908ad680f942bcbe9c completed April 2, 2026, 7:36 a.m.
Created at: March 30, 2026, 5:18 p.m.