Triple
T1339248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serie A |
E28425
|
entity |
| Predicate | UEFACoefficientRanking |
P12314
|
FINISHED |
| Object | one of the top European leagues |
—
|
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: one of the top European leagues | Statement: [Serie A, UEFACoefficientRanking, one of the top European leagues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UEFACoefficientRanking Context triple: [Serie A, UEFACoefficientRanking, one of the top European leagues]
-
A.
fifaLikeRankingType
Indicates a ranking system or classification that follows the style, rules, or methodology of FIFA’s official rankings.
-
B.
selectionRankingFrequency
Indicates how often an entity is chosen or ranked in a particular position within a selection or ordering process.
-
C.
selectionRankingEndPoint
Indicates the position or boundary in an ordered list at which a selection or ranking process concludes.
-
D.
hasRankingCategory
chosen
Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
-
E.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c21303c881908fef0b32831222fe |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.