Triple
T34803842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yas Marina 12 Hours |
E1003293
|
entity |
| Predicate | typicalCarClass |
P109335
|
FINISHED |
| Object | GT cars |
—
|
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: GT cars | Statement: [Yas Marina 12 Hours, typicalCarClass, GT cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCarClass Context triple: [Yas Marina 12 Hours, typicalCarClass, GT cars]
-
A.
intendedVehicleClass
Indicates that one entity is designed or specified to be used with, or is appropriate for, a particular class or category of vehicle.
-
B.
vehicleStandard
Indicates that something complies with, or is defined according to, a specified vehicle-related standard or regulatory specification.
-
C.
controlCarType
Indicates a relationship where an entity has authority to operate, manage, or make decisions about a specific type or category of car.
-
D.
mainVehicleClass
chosen
Indicates the primary category or type of vehicle to which an entity chiefly belongs.
-
E.
typicalCarWeight
Indicates the usual or characteristic weight associated with a given car.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.