Triple

T17811917
Position Surface form Disambiguated ID Type / Status
Subject Cheongju E444728 entity
Predicate hasSportsTeam P330 FINISHED
Object Cheongju FC
Cheongju FC is a South Korean professional football club based in the city of Cheongju.
E1290088 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: Cheongju FC | Statement: [Cheongju, hasSportsTeam, Cheongju FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheongju FC
Context triple: [Cheongju, hasSportsTeam, Cheongju FC]
  • A. 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.
  • 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. Suwon FC
    Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
  • E. 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.
  • 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: Cheongju FC
Triple: [Cheongju, hasSportsTeam, Cheongju FC]
Generated description
Cheongju FC is a South Korean professional football club based in the city of Cheongju.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cheongju FC
Target entity description: Cheongju FC is a South Korean professional football club based in the city of Cheongju.
  • A. 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.
  • 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. Suwon FC
    Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
  • E. 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.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887b5e50819098506f0b92d709b5 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff608640819093b5f1b31a254a83 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03038f7e54819090b85bed9044efd2 completed May 12, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0303fe44308190b6cca9a119c969d9 completed May 12, 2026, 10:42 a.m.
Created at: April 10, 2026, 10:14 a.m.