Triple

T6563835
Position Surface form Disambiguated ID Type / Status
Subject Ulju-gun E153850 entity
Predicate hasSubdivision P747 FINISHED
Object Onsan-eup
Onsan-eup is a town-level administrative division in Ulju County, Ulsan, South Korea, known for its industrial complexes and coastal location.
E153850 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: Onsan-eup | Statement: [Ulju-gun, hasSubdivision, Onsan-eup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onsan-eup
Context triple: [Ulju-gun, hasSubdivision, Onsan-eup]
  • A. Soreang
    Soreang is a suburban district and the administrative center of Bandung Regency in West Java, Indonesia, situated within the greater Bandung metropolitan area.
  • B. Ungjin
    Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
  • C. Wiryeseong
    Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
  • D. Balgüe
    Balgüe is a small rural village on Ometepe Island in Lake Nicaragua, known for its scenic setting near volcanic landscapes and eco-tourism lodges.
  • E. Ulju-gun
    Ulju-gun is a county-level administrative district located within the metropolitan city of Ulsan in South Korea, known for its mix of industrial facilities and natural landscapes.
  • 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: Onsan-eup
Triple: [Ulju-gun, hasSubdivision, Onsan-eup]
Generated description
Onsan-eup is a town-level administrative division in Ulju County, Ulsan, South Korea, known for its industrial complexes and coastal location.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Onsan-eup
Target entity description: Onsan-eup is a town-level administrative division in Ulju County, Ulsan, South Korea, known for its industrial complexes and coastal location.
  • A. Soreang
    Soreang is a suburban district and the administrative center of Bandung Regency in West Java, Indonesia, situated within the greater Bandung metropolitan area.
  • B. Ungjin
    Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
  • C. Wiryeseong
    Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
  • D. Balgüe
    Balgüe is a small rural village on Ometepe Island in Lake Nicaragua, known for its scenic setting near volcanic landscapes and eco-tourism lodges.
  • E. Ulju-gun chosen
    Ulju-gun is a county-level administrative district located within the metropolitan city of Ulsan in South Korea, known for its mix of industrial facilities and natural landscapes.
  • F. None of above.

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_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d82753288190bb8cd18254feee2d completed March 27, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6d92bc2508190b0e1eaf8b46c958e completed March 27, 2026, 7:23 p.m.
Created at: March 27, 2026, 1:52 p.m.