Triple
T1903580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEAT |
E37746
|
entity |
| Predicate | vehicleTypeProduced |
P1776
|
FINISHED |
| Object | hatchbacks |
—
|
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: hatchbacks | Statement: [SEAT, vehicleTypeProduced, hatchbacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleTypeProduced Context triple: [SEAT, vehicleTypeProduced, hatchbacks]
-
A.
rideTypeProduced
Indicates that a particular type or category of ride is generated, created, or produced as a result of some process or activity.
-
B.
vehicleDeveloped
Indicates that an entity (such as a person, organization, or group) created, designed, or otherwise developed a particular vehicle.
-
C.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
D.
vehicleType
chosen
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
E.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.