Triple
T9887577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA association club coefficients |
E181373
|
entity |
| Predicate | bonusPointsFor |
P62973
|
FINISHED |
| Object | reaching group stage |
—
|
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: reaching group stage | Statement: [UEFA association club coefficients, bonusPointsFor, reaching group stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bonusPointsFor Context triple: [UEFA association club coefficients, bonusPointsFor, reaching group stage]
-
A.
supportsBonus
Indicates that one entity provides or enables an additional benefit, reward, or bonus for another entity.
-
B.
rewardBrand
Indicates that one entity grants or associates a reward with a particular brand.
-
C.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
-
D.
pointsEarnedFrom
chosen
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
-
E.
rewardUse
Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb457c8cc81909d211d5882228076 |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.