Triple
T6172920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Petersburg Grand Prix |
E137745
|
entity |
| Predicate | numberOfTurnsApprox |
P30551
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [St. Petersburg Grand Prix, numberOfTurnsApprox, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTurnsApprox Context triple: [St. Petersburg Grand Prix, numberOfTurnsApprox, 14]
-
A.
numberOfTurns
chosen
Indicates the total count of discrete turns or rotations involved in an interaction, process, or motion.
-
B.
roundsFiredEstimate
Indicates an estimated number of shots or rounds that have been fired in a given context or event.
-
C.
numberOfDraws
Indicates the total count of times an event, game, or contest has ended in a draw or tie.
-
D.
numberOfMovements
Indicates the total count of distinct movements or motion events associated with the given entity or context.
-
E.
turnsIn
Indicates that an entity submits or hands over something, typically work or an item, to another party or authority.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d9319548190980c99f692bd4115 |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.