Triple
T36076032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaguar D-Type |
E1043496
|
entity |
| Predicate | roadCarDerivative |
P172991
|
FINISHED |
| Object | Jaguar XKSS |
—
|
NE NERFINISHED |
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: Jaguar XKSS | Statement: [Jaguar D-Type, roadCarDerivative, Jaguar XKSS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadCarDerivative Context triple: [Jaguar D-Type, roadCarDerivative, Jaguar XKSS]
-
A.
vehicleBase
Indicates that one entity serves as the foundational or underlying base for a vehicle-related entity or system.
-
B.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
C.
poweredCar
Indicates that one entity is a car whose operation or movement is enabled or driven by another entity as its power source.
-
D.
poweredVehicleFamily
Indicates that one vehicle is part of a family or group of vehicles that share a common powered (motorized) design or platform.
-
E.
vehicleVariant
chosen
Indicates that one vehicle is a specific version, model, or configuration variant of another related vehicle.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.