Triple

T14890933
Position Surface form Disambiguated ID Type / Status
Subject Suwon E359751 entity
Predicate hasSportTeam P330 FINISHED
Object Suwon Samsung Bluewings E652621 NE FINISHED

How this triple was built (2 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 Samsung Bluewings | Statement: [Suwon, hasSportTeam, Suwon Samsung Bluewings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suwon Samsung Bluewings
Context triple: [Suwon, hasSportTeam, Suwon Samsung Bluewings]
  • A. Suwon Samsung Bluewings chosen
    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.
  • B. 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.
  • 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. Daegu FC
    Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b61407481908a618d14c56d2abf completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:10 a.m.