Triple

T17122925
Position Surface form Disambiguated ID Type / Status
Subject Ansan E415511 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Danwon-gu NE NERFINISHED

How this triple was built (3 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: Danwon-gu | Statement: [Ansan, hasAdministrativeDivision, Danwon-gu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danwon-gu
Context triple: [Ansan, hasAdministrativeDivision, Danwon-gu]
  • A. Jungwon-gu
    Jungwon-gu is an administrative district (gu) of the city of Seongnam in Gyeonggi Province, South Korea, comprising residential, commercial, and cultural areas.
  • B. Dongan-gu
    Dongan-gu is an urban district of Anyang in Gyeonggi Province, South Korea, known for its residential neighborhoods, commercial centers, and proximity to Seoul.
  • C. Jinhae-gu
    Jinhae-gu is a coastal district in Changwon, South Korea, best known for its large naval base and famous annual cherry blossom festival.
  • D. Eunpyung-gu
    Eunpyung-gu is a northern district of Seoul, South Korea, known for its mix of residential areas, traditional temples, and access to nearby mountains.
  • E. Gwonseon-gu
    Gwonseon-gu is a district of Suwon in South Korea, known as one of the city's key residential and commercial areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danwon-gu
Target entity description: Danwon-gu is a district of the city of Ansan in Gyeonggi Province, South Korea, known for its coastal location and mixed residential and industrial areas.
  • A. Jungwon-gu
    Jungwon-gu is an administrative district (gu) of the city of Seongnam in Gyeonggi Province, South Korea, comprising residential, commercial, and cultural areas.
  • B. Dongan-gu
    Dongan-gu is an urban district of Anyang in Gyeonggi Province, South Korea, known for its residential neighborhoods, commercial centers, and proximity to Seoul.
  • C. Jinhae-gu
    Jinhae-gu is a coastal district in Changwon, South Korea, best known for its large naval base and famous annual cherry blossom festival.
  • D. Eunpyung-gu
    Eunpyung-gu is a northern district of Seoul, South Korea, known for its mix of residential areas, traditional temples, and access to nearby mountains.
  • E. Gwonseon-gu
    Gwonseon-gu is a district of Suwon in South Korea, known as one of the city's key residential and commercial areas.
  • F. None of above. chosen

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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80ac2cc819084fab829917c950a completed April 18, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:36 a.m.