Triple
T34557936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division II Directors' Cup |
E887256
|
entity |
| Predicate | pointAllocation |
P161848
|
FINISHED |
| Object | points awarded for top national finishes in each sport |
—
|
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: points awarded for top national finishes in each sport | Statement: [Division II Directors' Cup, pointAllocation, points awarded for top national finishes in each sport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointAllocation Context triple: [Division II Directors' Cup, pointAllocation, points awarded for top national finishes in each sport]
-
A.
pointAllocationMethod
Indicates how points are assigned or distributed within a given system or process.
-
B.
pointsAwarded
chosen
Indicates that a specified number of points has been granted to an entity as a result of some action or event.
-
C.
rankingPointsAwardedBy
Indicates the number of ranking points granted by a particular source or authority to an entity.
-
D.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
E.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7206146a881909110085fb46c8251 |
completed | May 3, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.