Triple

T22296001
Position Surface form Disambiguated ID Type / Status
Subject Gangwon Province E551121 entity
Predicate contains P35 FINISHED
Object Soyang 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: Soyang River | Statement: [Gangwon Province, contains, Soyang River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soyang River
Context triple: [Gangwon Province, contains, Soyang River]
  • A. Soyang River chosen
    The Soyang River is a major river in northeastern South Korea, known for the Soyang Dam and its role in regional water supply, flood control, and recreation.
  • B. Seoktan River
    The Seoktan River is a tributary waterway in the Korean Peninsula that feeds into the larger Imjin River system.
  • C. Neryungri River
    Neryungri River is a river in the Sakha Republic (Yakutia), Russia, that gives its name to the nearby mining town of Neryungri.
  • D. Louhajang River
    The Louhajang River is a regional waterway in central Bangladesh that flows through Tangail District and supports local agriculture, fisheries, and transportation.
  • E. Yuna River
    The Yuna River is one of the principal rivers of the Dominican Republic, flowing through the fertile Cibao region and supporting agriculture, settlements, and local ecosystems.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1571fe76c8190a40b3679802a5475 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.