Triple

T16535401
Position Surface form Disambiguated ID Type / Status
Subject Suwon E401676 entity
Predicate hasSportsTeam P330 FINISHED
Object Suwon FC
Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
E1219821 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: Suwon FC | Statement: [Suwon, hasSportsTeam, Suwon FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suwon FC
Context triple: [Suwon, hasSportsTeam, Suwon FC]
  • A. 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.
  • B. Daegu FC
    Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
  • C. FC Seoul
    FC Seoul is a professional South Korean football club based in Seoul that competes in the K League 1 and is regarded as one of the country's most successful and popular teams.
  • 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. 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: Suwon FC
Triple: [Suwon, hasSportsTeam, Suwon FC]
Generated description
Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suwon FC
Target entity description: Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
  • A. 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.
  • B. Daegu FC
    Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
  • C. FC Seoul
    FC Seoul is a professional South Korean football club based in Seoul that competes in the K League 1 and is regarded as one of the country's most successful and popular teams.
  • 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. 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e345574d88819094548367bf983078 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a913388190afebe40fcc42e731 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a006976e8c881909036bd438baaa35e completed May 10, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_6a006a0ae92c8190963918628844a7ac completed May 10, 2026, 11:20 a.m.
Created at: April 10, 2026, 5:15 a.m.