Triple
T35753303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Grand Prix |
E1033372
|
entity |
| Predicate | isRecurringSportEvent |
P16303
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Spanish Grand Prix, isRecurringSportEvent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRecurringSportEvent Context triple: [Spanish Grand Prix, isRecurringSportEvent, true]
-
A.
sportEventFrequency
Indicates how often a particular sport event occurs within a given time period.
-
B.
recurringEvent
chosen
Indicates that an event occurs repeatedly over time according to some regular pattern or schedule.
-
C.
hasSportingEvent
Indicates that a sporting event is associated with, held at, or organized by a given entity.
-
D.
recurringDuring
Indicates that an event or state happens repeatedly within the time span or context defined by another event or interval.
-
E.
hasRecreationEvent
Indicates that an entity is associated with, organizes, or participates in a recreational 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a198e24881909cc292e420269a8c |
completed | May 3, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.