Triple

T14917216
Position Surface form Disambiguated ID Type / Status
Subject Jiang’an District, Wuhan E371410 entity
Predicate hasRiver P165 FINISHED
Object Yangtze River 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: Yangtze River | Statement: [Jiang’an District, Wuhan, hasRiver, Yangtze River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangtze River
Context triple: [Jiang’an District, Wuhan, hasRiver, Yangtze River]
  • A. 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.
  • B. 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.
  • C. Chang River
    The Chang River is a significant waterway flowing through Jingdezhen, a city in Jiangxi Province renowned for its porcelain production.
  • D. Yellow River
    The Yellow River is a river in the U.S. state of Florida that flows through the western Panhandle before emptying into Escambia Bay near the Gulf of Mexico.
  • E. Yellow River
    The Yellow River is a tributary stream that feeds into Lough Allen, a lake in the River Shannon system in Ireland.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62038508190946499cd3552990e completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72bf2120819099df39bdc1da691b completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:32 a.m.