Triple

T19529820
Position Surface form Disambiguated ID Type / Status
Subject Heaven Lake E488627 entity
Predicate locatedIn P40 FINISHED
Object Paektusan 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: Paektusan | Statement: [Heaven Lake, locatedIn, Paektusan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paektusan
Context triple: [Heaven Lake, locatedIn, Paektusan]
  • A. Paektusan chosen
    Paektusan is a volcanic mountain on the border between North Korea and China, revered in Korean and Manchu culture and known for its crater lake, Heaven Lake.
  • B. Pyonggang
    Pyonggang is a town in North Korea’s Kangwon Province that was a strategically important site during the Korean War.
  • C. Phyongwon
    Phyongwon is a city in North Korea known as an administrative and agricultural center within North Pyongan Province.
  • D. Kimilsungia
    Kimilsungia is a hybrid orchid named in honor of North Korean leader Kim Il-sung and used as a symbolic flower in North Korean state celebrations and propaganda.
  • E. Hyesan
    Hyesan is a major city in northern North Korea, located on the border with China along the Yalu River and serving as an important regional administrative and transport hub.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363dfd6c8190aaa0b374184965bb completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.