Triple
T17739223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancia LC1 |
E442807
|
entity |
| Predicate | motorsportClass |
P128813
|
FINISHED |
| Object | Group 6 |
—
|
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: Group 6 | Statement: [Lancia LC1, motorsportClass, Group 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motorsportClass Context triple: [Lancia LC1, motorsportClass, Group 6]
-
A.
grandPrixClass
Indicates that something belongs to, competes in, or is categorized under a specific Grand Prix racing class or division.
-
B.
appearsAsRacerClass
Indicates that an entity is presented or functions in the role or category of a racer class within a given context.
-
C.
motorsportHomologationRole
Indicates the specific role or function an entity has within the homologation (official approval and certification) process in motorsport.
-
D.
motorcycleClass
Indicates the classification or category to which a motorcycle belongs (e.g., by type, style, or usage).
-
E.
styleOfRacing
Indicates the specific manner or approach in which an entity participates in or performs racing.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acb05848190a4b7edb98f15b8c6 |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:09 a.m.