Triple

T16815107
Position Surface form Disambiguated ID Type / Status
Subject Seongnam E408723 entity
Predicate hasDistrict P459 FINISHED
Object Sujeong-gu
Sujeong-gu is an administrative district in the city of Seongnam, South Korea, known for its residential neighborhoods and proximity to Seoul.
E1237630 NE FINISHED

How this triple was built (4 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: Sujeong-gu | Statement: [Seongnam, hasDistrict, Sujeong-gu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sujeong-gu
Context triple: [Seongnam, hasDistrict, Sujeong-gu]
  • A. Geumjeong-gu
    Geumjeong-gu is a district in Busan, South Korea, known for its residential areas, transportation hubs, and proximity to Geumjeongsan Mountain.
  • B. Suyeong-gu
    Suyeong-gu is a coastal district in the city of Busan, South Korea, known for its urban neighborhoods and proximity to popular beaches.
  • C. Yeonsu-gu
    Yeonsu-gu is an administrative district of Incheon, South Korea, known for its coastal location, modern residential areas, and proximity to the Songdo International Business District.
  • D. 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.
  • E. Geumcheon-gu
    Geumcheon-gu is a district in southwestern Seoul, South Korea, known for its mix of residential areas, industrial zones, and transportation hubs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sujeong-gu
Triple: [Seongnam, hasDistrict, Sujeong-gu]
Generated description
Sujeong-gu is an administrative district in the city of Seongnam, South Korea, known for its residential neighborhoods and proximity to Seoul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sujeong-gu
Target entity description: Sujeong-gu is an administrative district in the city of Seongnam, South Korea, known for its residential neighborhoods and proximity to Seoul.
  • A. Geumjeong-gu
    Geumjeong-gu is a district in Busan, South Korea, known for its residential areas, transportation hubs, and proximity to Geumjeongsan Mountain.
  • B. Suyeong-gu
    Suyeong-gu is a coastal district in the city of Busan, South Korea, known for its urban neighborhoods and proximity to popular beaches.
  • C. Yeonsu-gu
    Yeonsu-gu is an administrative district of Incheon, South Korea, known for its coastal location, modern residential areas, and proximity to the Songdo International Business District.
  • D. 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.
  • E. Geumcheon-gu
    Geumcheon-gu is a district in southwestern Seoul, South Korea, known for its mix of residential areas, industrial zones, and transportation hubs.
  • F. None of above. chosen

Provenance (5 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c29ea9fc81909087cdf28c9c9fc0 completed May 10, 2026, 5:38 p.m.
NEDg Description generation batch_6a00c345229481909d8c0b8a122266bb completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c42315448190aecedc58fa0b7319 completed May 10, 2026, 5:45 p.m.
Created at: April 10, 2026, 5:23 a.m.