Triple

T9293948
Position Surface form Disambiguated ID Type / Status
Subject Cheonan E223590 entity
Predicate hasSportsTeam P330 FINISHED
Object Cheonan City FC
Cheonan City FC is a South Korean professional football club based in the city of Cheonan that competes in the national league system.
E789861 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: Cheonan City FC | Statement: [Cheonan, hasSportsTeam, Cheonan City FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheonan City FC
Context triple: [Cheonan, hasSportsTeam, Cheonan City FC]
  • A. Daejeon Hana Citizen FC
    Daejeon Hana Citizen FC is a professional South Korean football club based in the city of Daejeon that competes in the K League system.
  • B. Daegu FC
    Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
  • C. Incheon United FC
    Incheon United FC is a professional South Korean football club based in the city of Incheon that competes in the K League.
  • D. Ulsan HD FC
    Ulsan HD FC is a professional South Korean football club based in Ulsan that competes in the K League 1 and is known as one of the country's leading teams.
  • E. Suwon Samsung Bluewings
    Suwon Samsung Bluewings is a professional South Korean football club based in Suwon, known as one of the K League's most successful and popular teams.
  • 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: Cheonan City FC
Triple: [Cheonan, hasSportsTeam, Cheonan City FC]
Generated description
Cheonan City FC is a South Korean professional football club based in the city of Cheonan that competes in the national league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cheonan City FC
Target entity description: Cheonan City FC is a South Korean professional football club based in the city of Cheonan that competes in the national league system.
  • A. Daejeon Hana Citizen FC
    Daejeon Hana Citizen FC is a professional South Korean football club based in the city of Daejeon that competes in the K League system.
  • B. Daegu FC
    Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
  • C. Incheon United FC
    Incheon United FC is a professional South Korean football club based in the city of Incheon that competes in the K League.
  • D. Ulsan HD FC
    Ulsan HD FC is a professional South Korean football club based in Ulsan that competes in the K League 1 and is known as one of the country's leading teams.
  • E. Suwon Samsung Bluewings
    Suwon Samsung Bluewings is a professional South Korean football club based in Suwon, known as one of the K League's most successful and popular teams.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd089a2ed0819086b2e4219ff2453e completed April 1, 2026, 11:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b241251c81909aa4e8bcf5cd9c2e completed April 4, 2026, 6:40 a.m.
NEDg Description generation batch_69d0b3324e7c8190b928928bbfbdbadf completed April 4, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_69d0b3d40da08190b25118a0901728da completed April 4, 2026, 6:46 a.m.
Created at: March 30, 2026, 7:35 p.m.