Triple

T21509973
Position Surface form Disambiguated ID Type / Status
Subject Hoechang-gun E530689 entity
Predicate hasNameElement P3097 FINISHED
Object Hoechang 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: Hoechang | Statement: [Hoechang-gun, hasNameElement, Hoechang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoechang
Context triple: [Hoechang-gun, hasNameElement, Hoechang]
  • A. Hoechang chosen
    Hoechang is a county in South Pyongan Province, North Korea, known for its rural landscape and administrative role in the region.
  • B. Cheonsu
    Cheonsu was the era name proclaimed by Taejo, the founding king of the Goryeo dynasty in Korea, to mark his reign and legitimize his new rule.
  • C. Cheongtae
    Cheongtae was an era name used during the reign of Taejo, the founding king of Korea’s Goryeo dynasty.
  • D. Koung-Khi
    Koung-Khi is an administrative department located in the West Region of Cameroon.
  • E. Myeong-bok
    Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.