Triple
T21744919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studebaker Dictator |
E536761
|
entity |
| Predicate | automotiveEra |
P117957
|
FINISHED |
| Object | pre-World War II automobiles |
—
|
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: pre-World War II automobiles | Statement: [Studebaker Dictator, automotiveEra, pre-World War II automobiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: automotiveEra Context triple: [Studebaker Dictator, automotiveEra, pre-World War II automobiles]
-
A.
targetVehicleEra
chosen
Indicates the historical time period or production era to which a referenced vehicle belongs.
-
B.
historicRacingCar
Indicates that an entity is a racing car of historical significance, typically from a past era of motorsport competition.
-
C.
propulsionEra
Indicates the historical period or generation of propulsion technology associated with an entity (e.g., vehicle, engine, or system).
-
D.
carGeneration
Indicates the specific model generation or version of a car within its production lineage.
-
E.
vehicleGeneration
Indicates the generational version or iteration of a vehicle within a model line or series.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a75352c8190bcd46759562ee251 |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:49 p.m.