Triple

T7767698
Position Surface form Disambiguated ID Type / Status
Subject Gangseo District, Busan E178990 entity
Predicate borders P224 FINISHED
Object Nakdong River E144467 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: Nakdong River | Statement: [Gangseo District, Busan, borders, Nakdong River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakdong River
Context triple: [Gangseo District, Busan, borders, Nakdong River]
  • A. Nakdong River chosen
    The Nakdong River is South Korea's longest river, flowing through the southeastern region and playing a crucial role in the country's history, ecology, and economy.
  • B. Baram River
    The Baram River is one of the largest rivers in northern Borneo, flowing through the Malaysian state of Sarawak to the South China Sea and supporting diverse indigenous communities and rainforest ecosystems.
  • C. Minho River
    The Minho River is a major river in the northwest of the Iberian Peninsula that forms part of the border between Spain and Portugal before flowing into the Atlantic Ocean.
  • D. Yeong River
    The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
  • E. Yi River
    The Yi River is a significant river in Shandong Province, China, known for flowing through the city of Linyi and its surrounding agricultural and historical regions.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70435b7f88190a5e68e6ae701c58f completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ef0b6bb88190b5f98897ccbc07a6 completed March 29, 2026, 9:21 a.m.
Created at: March 27, 2026, 4:11 p.m.