Triple

T17504451
Position Surface form Disambiguated ID Type / Status
Subject Honggu District E426274 entity
Predicate locatedOn P40 FINISHED
Object Yellow River — NE NERFINISHED

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: Yellow River | Statement: [Honggu District, locatedOn, Yellow River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yellow River
Context triple: [Honggu District, locatedOn, Yellow River]
  • A. 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.
  • B. Yellow River
    The Yellow River is a tributary stream that feeds into Lough Allen, a lake in the River Shannon system in Ireland.
  • C. Yellow River chosen
    The Yellow River is the second-longest river in China, historically known as the cradle of Chinese civilization and notorious for its devastating floods and heavy silt load.
  • D. 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.
  • E. Chang River
    The Chang River is a significant waterway flowing through Jingdezhen, a city in Jiangxi Province renowned for its porcelain production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45214d44c8190b1bf04bf24ab8e81 completed April 19, 2026, 3:55 a.m.
Created at: April 10, 2026, 5:48 a.m.