Triple

T18398082
Position Surface form Disambiguated ID Type / Status
Subject Hekou District, Dongying E449918 entity
Predicate borderedBy P224 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: [Hekou District, Dongying, borderedBy, Yellow River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yellow River
Context triple: [Hekou District, Dongying, borderedBy, Yellow River]
  • A. 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.
  • B. 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.
  • C. Yellow River
    The Yellow River is a tributary stream that feeds into Lough Allen, a lake in the River Shannon system in Ireland.
  • 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. Longjiang River
    The Longjiang River is a significant river in Guangxi, southern China, known for flowing through mountainous karst landscapes and supporting regional agriculture and transport.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5184879548190b7f428e2d4c2caa4 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.