Triple
T6172899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Petersburg Grand Prix |
E137745
|
entity |
| Predicate | usesCircuitType |
P69214
|
FINISHED |
| Object | temporary street circuit |
—
|
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: temporary street circuit | Statement: [St. Petersburg Grand Prix, usesCircuitType, temporary street circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCircuitType Context triple: [St. Petersburg Grand Prix, usesCircuitType, temporary street circuit]
-
A.
circuitUsed
Indicates that a particular circuit is utilized or employed in performing an action, process, or function.
-
B.
circuitType
Indicates the specific kind or category of electrical circuit associated with an entity.
-
C.
hasCircuit
Indicates that an entity is equipped with, contains, or is associated with an electrical or logical circuit.
-
D.
belongsToCircuit
Indicates that something is a component or member of a specific circuit or circuit grouping.
-
E.
servesCircuit
Indicates that an entity provides legal representation or service in a specified judicial circuit.
- 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_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. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:18 p.m.