Triple

T6563834
Position Surface form Disambiguated ID Type / Status
Subject Ulju-gun E153850 entity
Predicate hasSubdivision P747 FINISHED
Object Seosaeng-myeon
Seosaeng-myeon is an administrative township-level division located within Ulju County in Ulsan, South Korea.
E623930 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: Seosaeng-myeon | Statement: [Ulju-gun, hasSubdivision, Seosaeng-myeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seosaeng-myeon
Context triple: [Ulju-gun, hasSubdivision, Seosaeng-myeon]
  • A. Samseong-myeon
    Samseong-myeon is a rural township-level administrative area within Eumseong County in North Chungcheong Province, South Korea.
  • B. Samsan-myeon
    Samsan-myeon is a rural township-level administrative division located within Ulju County in Ulsan, South Korea.
  • C. Maengdong-myeon
    Maengdong-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • D. Daeso-myeon
    Daeso-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • E. Gamgok-myeon
    Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • 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: Seosaeng-myeon
Triple: [Ulju-gun, hasSubdivision, Seosaeng-myeon]
Generated description
Seosaeng-myeon is an administrative township-level division located within Ulju County in Ulsan, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seosaeng-myeon
Target entity description: Seosaeng-myeon is an administrative township-level division located within Ulju County in Ulsan, South Korea.
  • A. Samseong-myeon
    Samseong-myeon is a rural township-level administrative area within Eumseong County in North Chungcheong Province, South Korea.
  • B. Samsan-myeon
    Samsan-myeon is a rural township-level administrative division located within Ulju County in Ulsan, South Korea.
  • C. Maengdong-myeon
    Maengdong-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • D. Daeso-myeon
    Daeso-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • E. Gamgok-myeon
    Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3a40488190892d20ca0d60b937 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f7450dc8190881a9347b8b9475f completed March 28, 2026, 1:31 a.m.
NEDg Description generation batch_69c735fb16488190a1b94e016ed0f41a completed March 28, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69c7365071d881909ef0de08299d7dc8 completed March 28, 2026, 2 a.m.
Created at: March 27, 2026, 1:52 p.m.