Triple
T24629540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2003 Ballon d'Or |
E609634
|
entity |
| Predicate | forSeason |
P1166
|
FINISHED |
| Object | 2003 calendar year |
—
|
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: 2003 calendar year | Statement: [2003 Ballon d'Or, forSeason, 2003 calendar year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forSeason Context triple: [2003 Ballon d'Or, forSeason, 2003 calendar year]
-
A.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
B.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
-
C.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
D.
season
chosen
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
E.
sportSeasonOf
Indicates that one entity is a sports season that belongs to, or is part of, the overall history or schedule of the specified sport.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.