Triple

T7719898
Position Surface form Disambiguated ID Type / Status
Subject Yuseong-gu E174979 entity
Predicate hasNameRomanization P2508 FINISHED
Object Yuseong-gu E174979 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: Yuseong-gu | Statement: [Yuseong-gu, hasNameRomanization, Yuseong-gu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuseong-gu
Context triple: [Yuseong-gu, hasNameRomanization, Yuseong-gu]
  • A. Yuseong-gu chosen
    Yuseong-gu is a district in the city of Daejeon, South Korea, known for its hot springs, research institutes, and high-tech industry clusters.
  • B. Suseong District
    Suseong District is an affluent residential and commercial area in southeastern Daegu, South Korea, known for its high-quality schools, parks, and cultural amenities.
  • C. Gwacheon
    Gwacheon is a small city in South Korea known for hosting major government offices, cultural institutions, and the Seoul Grand Park complex.
  • D. Ganghwa County
    Ganghwa County is a rural island county in northwestern South Korea known for its historical sites, fortresses, and strategic location near the border with North Korea.
  • E. Yangcheon District
    Yangcheon District is a residential and commercial ward in southwestern Seoul, South Korea, known for its well-planned urban environment and family-friendly amenities.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702eedc088190be645c029dfc462a completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b513f7d481908d2ce64d9685289c completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:05 p.m.