Triple
T36115368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nürburgring 24 Hours |
E1044602
|
entity |
| Predicate | mainCarClass |
P109335
|
FINISHED |
| Object | GT3 |
—
|
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: GT3 | Statement: [Nürburgring 24 Hours, mainCarClass, GT3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCarClass Context triple: [Nürburgring 24 Hours, mainCarClass, GT3]
-
A.
mainVehicleClass
chosen
Indicates the primary category or type of vehicle to which an entity chiefly belongs.
-
B.
hasCarClass
Indicates that one entity is associated with, or categorized under, a particular class or type of car.
-
C.
mainVehicle
Indicates that one vehicle is the primary or most important vehicle associated with a given entity or context.
-
D.
vehicleClassDriven
Indicates that an entity drives or operates a vehicle belonging to a particular vehicle class or category.
-
E.
exampleClass
Indicates that the subject belongs to, is categorized under, or serves as an instance of a particular class or type.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 3, 2026, 4:08 p.m.