Triple

T6226793
Position Surface form Disambiguated ID Type / Status
Subject Seoul World Cup Stadium E139252 entity
Predicate hasTenants P3277 FINISHED
Object FC Seoul E566379 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: FC Seoul | Statement: [Seoul World Cup Stadium, hasTenants, FC Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Seoul
Context triple: [Seoul World Cup Stadium, hasTenants, FC Seoul]
  • A. FC Seoul chosen
    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.
  • 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. 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.
  • E. Seongnam
    Seongnam is a major satellite city of Seoul in South Korea, known for its planned urban development and role as a residential and commercial hub.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d5403081908effc8330bda3f0a completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243f042b08190a32bb07acd419b4c completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:22 p.m.