Triple
T8065789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J.League Cup |
E188239
|
entity |
| Predicate | awardsQualificationFor |
P7591
|
FINISHED |
| Object | AFC Champions League berth (in some seasons) |
—
|
LITERAL 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: AFC Champions League berth (in some seasons) | Statement: [J.League Cup, awardsQualificationFor, AFC Champions League berth (in some seasons)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardsQualificationFor Context triple: [J.League Cup, awardsQualificationFor, AFC Champions League berth (in some seasons)]
-
A.
awardsQualificationTo
chosen
Indicates that one entity grants or confers a qualification, certification, or credential to another entity.
-
B.
isAwardedIn
Indicates that an award or honor is given or conferred within a specific event, context, or time frame.
-
C.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
D.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
-
E.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff5547c8190a7ec5958a23e302f |
completed | March 31, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:26 p.m.