Triple

T22657547
Position Surface form Disambiguated ID Type / Status
Subject Şenol Güneş E559267 entity
Predicate clubManagedInSouthKorea P72703 FINISHED
Object FC Seoul NE NERFINISHED

How this triple was built (3 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: [Şenol Güneş, clubManagedInSouthKorea, FC Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Seoul
Context triple: [Şenol Güneş, clubManagedInSouthKorea, 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. Suwon FC
    Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
  • C. Seongnam FC
    Seongnam FC is a professional South Korean football club based in Seongnam, known as one of the K League’s historically most successful teams.
  • D. Daegu FC
    Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: clubManagedInSouthKorea
Context triple: [Şenol Güneş, clubManagedInSouthKorea, FC Seoul]
  • A. servedByFlagCarrierOfSouthKorea
    Indicates that the subject is served or operated by the national flag carrier airline of South Korea.
  • B. clubManagedCountry
    Indicates that a sports club is managed or administered within the jurisdiction of a particular country.
  • C. hasManagedClub chosen
    Indicates that a person has held a managerial role for a particular club.
  • D. representedCountryAsManager
    Indicates that an individual served as a manager representing a specific country, typically in an official or professional capacity.
  • E. countryOfFranchiseManaged
    Indicates the country in which a particular franchise is managed or administered.
  • F. None of above.

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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765c62bc8190b3fcde76d6b6dfb6 completed April 29, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69ee6294c4c08190b7e4829f4b9af24b completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:06 p.m.