Triple
T6148673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adidas Fevernova |
E137141
|
entity |
| Predicate | ballStandard |
P25453
|
FINISHED |
| Object | FIFA Laws of the Game size 5 |
—
|
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: FIFA Laws of the Game size 5 | Statement: [Adidas Fevernova, ballStandard, FIFA Laws of the Game size 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ballStandard Context triple: [Adidas Fevernova, ballStandard, FIFA Laws of the Game size 5]
-
A.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
B.
ballCondition
chosen
Indicates the specific state or status a ball is in, such as its physical condition, readiness for use, or compliance with required standards.
-
C.
ballCount
Indicates the number of balls associated with a given entity or context.
-
D.
usesBallColor
Indicates that an entity performs an action or operates in a way that depends on or involves the color of a ball.
-
E.
ballGameType
Indicates the specific kind or category of ball game associated with an event or 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce21820819096be9159d6b70a5f |
completed | March 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:16 p.m.