Triple
T38358780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9 Hours of Kyalami |
E1046408
|
entity |
| Predicate | typicalCarCategories |
P1776
|
FINISHED |
| Object | GT3 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: GT3 cars | Statement: [9 Hours of Kyalami, typicalCarCategories, GT3 cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCarCategories Context triple: [9 Hours of Kyalami, typicalCarCategories, GT3 cars]
-
A.
formerCarCategories
Indicates that an entity previously belonged to certain car categories but no longer does so.
-
B.
carTypeDominance
Indicates that one type of car is considered predominant, superior, or more influential than another within a given context or comparison.
-
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.
vehicleType
chosen
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
E.
vehicleFamily
Indicates that two vehicles belong to the same family or category based on shared design, platform, or lineage.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.