Triple
T6172926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Petersburg Grand Prix |
E137745
|
entity |
| Predicate | cityUsesEventFor |
P42697
|
FINISHED |
| Object | tourism promotion |
—
|
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: tourism promotion | Statement: [St. Petersburg Grand Prix, cityUsesEventFor, tourism promotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityUsesEventFor Context triple: [St. Petersburg Grand Prix, cityUsesEventFor, tourism promotion]
-
A.
eventUse
Indicates that an event involves the use or utilization of a particular entity (e.g., a resource, tool, or method) as part of its occurrence.
-
B.
mainCityCelebrations
Indicates that major celebratory events or festivities are held in or associated with a particular main city.
-
C.
eventUsage
chosen
Indicates how an event is employed, applied, or utilized within a particular context or process.
-
D.
conventionCity
Indicates that a city is the location where a particular convention or conference is held.
-
E.
cityOfVenue
Indicates the city in which a given venue is located.
- 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.