Triple
T24536088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet automotive industry |
E606952
|
entity |
| Predicate | mainPassengerCarBrand |
P66170
|
FINISHED |
| Object | Lada |
—
|
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: Lada | Statement: [Soviet automotive industry, mainPassengerCarBrand, Lada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainPassengerCarBrand Context triple: [Soviet automotive industry, mainPassengerCarBrand, Lada]
-
A.
vehicleBrandAssociated
Indicates that there is an association or linkage between a vehicle and a particular brand.
-
B.
carManufacturer
chosen
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
-
C.
usesPassengerCars
Indicates that an entity operates or employs passenger cars as part of its activities or services.
-
D.
fieldedCarBrand
Indicates that a particular car brand has been entered, deployed, or represented (e.g., in a race, event, or lineup) by some agent or organization.
-
E.
droveManufacturer
Indicates that a person or agent operated or used a vehicle produced by a specific manufacturer.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.