Triple
T9775009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top 14 |
E237223
|
entity |
| Predicate | bonusPointSystem |
P64949
|
FINISHED |
| Object | offensive and defensive bonus points |
—
|
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: offensive and defensive bonus points | Statement: [Top 14, bonusPointSystem, offensive and defensive bonus points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bonusPointSystem Context triple: [Top 14, bonusPointSystem, offensive and defensive bonus points]
-
A.
awardSystem
Indicates a relationship where an entity establishes or uses a structured scheme for granting awards, honors, or recognitions to others.
-
B.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
-
C.
hasBadgeSystem
Indicates that an entity includes or supports a badge-based system for recognizing or tracking achievements, statuses, or milestones.
-
D.
usesPointsSystem
chosen
Indicates that an entity operates or functions based on a structured points-based system for evaluation, rewards, or progression.
-
E.
hasExerciseRewardSystem
Indicates that an entity implements or is associated with a system that provides rewards or incentives for performing exercise or physical activity.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13148288190bcbb3b4a066d9fc1 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.