Triple
T8902400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Trucks |
E211959
|
entity |
| Predicate | engineBrand |
P86295
|
FINISHED |
| Object | International diesel engines |
—
|
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: International diesel engines | Statement: [International Trucks, engineBrand, International diesel engines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineBrand Context triple: [International Trucks, engineBrand, International diesel engines]
-
A.
cylinderHeadBrand
Indicates the brand or manufacturer associated with a cylinder head.
-
B.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
-
C.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
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.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc642a104081908df2d64e8f9ad0c8 |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc604965c48190bbb6db0ae8108e67 |
completed | April 1, 2026, 12:01 a.m. |
Created at: March 30, 2026, 6:55 p.m.