Triple

T17211465
Position Surface form Disambiguated ID Type / Status
Subject Namyangju E417740 entity
Predicate hasRiver P165 FINISHED
Object Bukhan River E657555 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: Bukhan River | Statement: [Namyangju, hasRiver, Bukhan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukhan River
Context triple: [Namyangju, hasRiver, Bukhan River]
  • A. Bukhan River chosen
    The Bukhan River is a major tributary in South Korea that flows from the mountainous northeast and joins with other waterways to form the Han River, which runs through Seoul.
  • 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. 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.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc5a51481908d5ea0f9a1e9aa8b completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e9d4308190a7c97da472d5e4b7 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:38 a.m.