Triple

T20796148
Position Surface form Disambiguated ID Type / Status
Subject Daegu E511913 entity
Predicate hasDistrict P459 FINISHED
Object Dong District 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: Dong District | Statement: [Daegu, hasDistrict, Dong District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dong District
Context triple: [Daegu, hasDistrict, Dong District]
  • A. Dong District
    Dong District is an administrative district (gu) of Incheon, a major port city in northwestern South Korea.
  • B. Dong District
    Dong District is an urban administrative district within the city of Panzhihua in Sichuan Province, China.
  • C. Dong Da District
    Dong Da District is a central urban district of Hanoi, Vietnam, known for its dense residential areas, historical sites, and role as a major commercial and educational hub of the capital.
  • D. Dan Chang District
    Dan Chang District is an administrative district located in Suphan Buri Province in central Thailand, known for its rural landscapes and agricultural communities.
  • E. Dongbao District
    Dongbao District is an urban administrative district under the jurisdiction of Jingmen City in Hubei Province, China, serving as the city's central area.
  • 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: Dong District
Target entity description: Dong District is an administrative district (gu) of the city of Daegu in South Korea, known primarily as a residential and commercial urban area.
  • A. Dong District
    Dong District is an administrative district (gu) of Incheon, a major port city in northwestern South Korea.
  • B. Dong District
    Dong District is an urban administrative district within the city of Panzhihua in Sichuan Province, China.
  • C. Dong Da District
    Dong Da District is a central urban district of Hanoi, Vietnam, known for its dense residential areas, historical sites, and role as a major commercial and educational hub of the capital.
  • D. Dan Chang District
    Dan Chang District is an administrative district located in Suphan Buri Province in central Thailand, known for its rural landscapes and agricultural communities.
  • E. Dongbao District
    Dongbao District is an urban administrative district under the jurisdiction of Jingmen City in Hubei Province, China, serving as the city's central area.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ad6f0481909e0bab7119f10f9c completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.