Triple
T30998198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheonan City FC |
E789861
|
entity |
| Predicate | competitionCountry |
P174383
|
FINISHED |
| Object | South Korea |
—
|
NE NERFINISHED |
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: South Korea | Statement: [Cheonan City FC, competitionCountry, South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionCountry Context triple: [Cheonan City FC, competitionCountry, South Korea]
-
A.
sportCountry
Indicates the country with which a given sport, sporting event, or sports organization is associated or primarily linked.
-
B.
competitionCountryAssociation
chosen
Indicates an association between a competition and a country, such as where the competition is held, organized, or primarily affiliated.
-
C.
primaryCompetitionCountry
Indicates the main country in which an entity primarily conducts or participates in competitive activities or markets.
-
D.
sportCountryCombination
Indicates a relationship pairing a specific sport with a specific country, typically to represent where that sport is played, represented, or associated.
-
E.
laterSportCountry
Indicates that one country’s involvement in a sport occurs at a later time than another country’s involvement in that same sport.
- 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 29, 2026, 8:56 p.m.