Triple
T30531942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Categoría Primera B |
E777028
|
entity |
| Predicate | hasMatchBallType |
P63333
|
FINISHED |
| Object | FIFA-approved football |
—
|
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-approved football | Statement: [Categoría Primera B, hasMatchBallType, FIFA-approved football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMatchBallType Context triple: [Categoría Primera B, hasMatchBallType, FIFA-approved football]
-
A.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
B.
usesBallColor
Indicates that an entity performs an action or operates in a way that depends on or involves the color of a ball.
-
C.
matchBall
chosen
Indicates that an entity is associated with or participates in a particular ball used in a match or game.
-
D.
ballOrObjectUsed
Indicates that a ball or other object is used as the instrument or tool in performing an action or event.
-
E.
usesBallShape
Indicates that one entity employs or incorporates a ball-like (spherical) shape in its form, design, or operation.
- 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ffacdf9f5c8190baef0245edfe87fc |
completed | May 9, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69ffac5e86e08190a1e6da0840a237ad |
completed | May 9, 2026, 9:51 p.m. |
Created at: April 29, 2026, 8:18 p.m.