Triple
T35752241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 European Grand Prix |
E1033347
|
entity |
| Predicate | practiceSessions |
P183624
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [2016 European Grand Prix, practiceSessions, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practiceSessions Context triple: [2016 European Grand Prix, practiceSessions, 3]
-
A.
practicedFor
Indicates that an entity engaged in preparation or rehearsal directed toward a particular event, activity, or objective.
-
B.
practicedWith
Indicates that one entity engaged in practice or training together with another entity.
-
C.
subsequentPractice
Indicates that one practice, activity, or exercise occurs after and in continuation of another in time.
-
D.
alsoPractice
Indicates that an entity engages in the same practice or activity as another entity, in addition to any other practices it may have.
-
E.
musicPractice
Indicates engaging in the activity of practicing or rehearsing music, typically to improve skill or prepare for performance.
- F. None of above. chosen
Provenance (4 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_69f7a1f64f1081908cc2774840684310 |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.