Triple
T24536060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet automotive industry |
E606952
|
entity |
| Predicate | mainTruckProducer |
P156645
|
FINISHED |
| Object | GAZ |
—
|
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: GAZ | Statement: [Soviet automotive industry, mainTruckProducer, GAZ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTruckProducer Context triple: [Soviet automotive industry, mainTruckProducer, GAZ]
-
A.
bikeManufacturer
Indicates that one entity is the manufacturer or producer of a bicycle associated with another entity.
-
B.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
-
C.
droveManufacturer
Indicates that a person or agent operated or used a vehicle produced by a specific manufacturer.
-
D.
TruckOfTheYearIs
Indicates that one entity has been designated as the "Truck of the Year" for the other entity (such as a specific award, organization, or year).
-
E.
majorTradingCompany
Indicates that the subject is a principal or highly significant company engaged in large-scale trading activities with the object.
- 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_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. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:26 a.m.