Triple
T27688179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFC competitions |
E698087
|
entity |
| Predicate | formerClubTournament |
P193774
|
FINISHED |
| Object | Asian Club Championship |
—
|
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: Asian Club Championship | Statement: [AFC competitions, formerClubTournament, Asian Club Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerClubTournament Context triple: [AFC competitions, formerClubTournament, Asian Club Championship]
-
A.
formerTournament
Indicates that an entity previously held the status of a tournament but no longer does so.
-
B.
primaryClubTournament
Indicates the main club-level tournament or competition in which an entity (typically a sports club or team) primarily participates or is most prominently associated.
-
C.
formerPartnerClub
Indicates that a club previously had a partnership or formal association with another club, but that relationship has since ended.
-
D.
hasFormerClub
Indicates that an entity (typically a person, such as an athlete) previously belonged to or was a member of a particular club or organization.
-
E.
competitionFormerName
Indicates that a competition previously operated under a different name than its current one.
- F. None of above. chosen
Provenance (4 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
| PDg | Predicate description generation | batch_69fd553c01488190b9fda48b4a728f04 |
completed | May 8, 2026, 3:15 a.m. |
Created at: April 27, 2026, 2:50 p.m.