Triple

T14506807
Position Surface form Disambiguated ID Type / Status
Subject Nonsan E340283 entity
Predicate hasRiver P165 FINISHED
Object Geum River E619208 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: Geum River | Statement: [Nonsan, hasRiver, Geum River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geum River
Context triple: [Nonsan, hasRiver, Geum River]
  • A. Geum River chosen
    The Geum River is a major river in western South Korea that flows through the central region before emptying into the Yellow Sea.
  • B. Geumho River
    The Geumho River is a major tributary of the Nakdong River in South Korea, flowing through the city of Daegu and playing an important role in the region’s ecology and urban landscape.
  • C. Louhajang River
    The Louhajang River is a regional waterway in central Bangladesh that flows through Tangail District and supports local agriculture, fisheries, and transportation.
  • D. Harangi River
    The Harangi River is a tributary of the Kaveri River in Karnataka, India, known for the Harangi Dam that supports irrigation and regional water management.
  • E. Taehwa River
    The Taehwa River is a major waterway in southeastern South Korea that flows through the industrial city of Ulsan and serves as an important ecological and recreational resource for the region.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e40e44819084f323f8f9982b75 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da07ff481909fb2463b0ea92849 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.