Triple
T6686004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi First Division League |
E152099
|
entity |
| Predicate | pointSystemDescription |
P64949
|
FINISHED |
| Object | three points for a win, one point for a draw, zero points for a loss |
—
|
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: three points for a win, one point for a draw, zero points for a loss | Statement: [Saudi First Division League, pointSystemDescription, three points for a win, one point for a draw, zero points for a loss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointSystemDescription Context triple: [Saudi First Division League, pointSystemDescription, three points for a win, one point for a draw, zero points for a loss]
-
A.
usesPointsSystem
chosen
Indicates that an entity operates or functions based on a structured points-based system for evaluation, rewards, or progression.
-
B.
pointsEarnedFrom
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
-
C.
pointDefinition
Indicates that one entity serves as the defining description or specification of a particular point in another entity.
-
D.
points
Indicates that one entity directs attention, focus, or a physical/abstract indication toward another entity or location.
-
E.
introducedScoringSystem
Indicates that an entity initiated or brought into use a particular scoring system.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.