Triple
T24691047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2025 UEFA Champions League Final |
E611437
|
entity |
| Predicate | hasRegulationTimeDuration |
P25687
|
FINISHED |
| Object | 90 minutes |
—
|
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: 90 minutes | Statement: [2025 UEFA Champions League Final, hasRegulationTimeDuration, 90 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegulationTimeDuration Context triple: [2025 UEFA Champions League Final, hasRegulationTimeDuration, 90 minutes]
-
A.
regulatesTimeFor
Indicates that one entity controls, influences, or sets the timing or schedule of another entity’s activities or processes.
-
B.
hasOfficialDuration
Indicates the formally defined length of time associated with an event, process, or entity.
-
C.
regulationMinutes
chosen
Indicates the number of minutes played during the standard regulation period of a game, excluding any overtime or extra periods.
-
D.
hasDurationType
Indicates that something is associated with a specific kind or category of duration (e.g., temporary, permanent, short-term, long-term).
-
E.
hasDurationCharacteristic
Indicates that something possesses a specific temporal property, such as length, span, or persistence over time.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 3:20 a.m.