Triple

T8581110
Position Surface form Disambiguated ID Type / Status
Subject Long River E203178 entity
Predicate alsoKnownAs P39 FINISHED
Object Chang Jiang E13303 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: Chang Jiang | Statement: [Long River, alsoKnownAs, Chang Jiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chang Jiang
Context triple: [Long River, alsoKnownAs, Chang Jiang]
  • A. Chang River
    The Chang River is a significant waterway flowing through Jingdezhen, a city in Jiangxi Province renowned for its porcelain production.
  • B. Yangtze River chosen
    The Yangtze River is the longest river in Asia and a crucial waterway in China, supporting major cities, transportation, agriculture, and hydroelectric power.
  • C. Hwang River
    The Hwang River is a river in South Korea that feeds into the Nakdong River, contributing to one of the country’s major watershed systems.
  • D. Mao River
    Mao River is a waterway flowing through Shanghai's Qingpu District, contributing to the area's local river network and drainage system.
  • E. Fujiang River
    The Fujiang River is a significant river in southwestern China that flows through Sichuan and Chongqing, contributing to the regional water system and ultimately joining the Min River.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1a026c819089183f542eeb7837 completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e2b483308190ab0bb30c483cafcc completed April 4, 2026, 10:06 a.m.
Created at: March 30, 2026, 6:22 p.m.