Triple
T8902416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Trucks |
E211959
|
entity |
| Predicate | chassisUse |
P66199
|
FINISHED |
| Object | school bus chassis (through body manufacturers) |
—
|
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: school bus chassis (through body manufacturers) | Statement: [International Trucks, chassisUse, school bus chassis (through body manufacturers)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chassisUse Context triple: [International Trucks, chassisUse, school bus chassis (through body manufacturers)]
-
A.
usedChassisFor
chosen
Indicates that one entity employed or incorporated another entity’s chassis as the structural base or framework for its construction or operation.
-
B.
chassis
Indicates that one entity serves as the structural frame or supporting base (chassis) for another entity.
-
C.
chassisConstruction
Indicates how the chassis of an object is built or assembled, specifying the construction method or structural design used.
-
D.
chassisMaterialFeature
Indicates that an entity has a chassis characterized by a specific material-related feature or property.
-
E.
supportsChassisType
Indicates that one entity is compatible with and can be used to support or accommodate a specified chassis type.
- 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_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. |
Created at: March 30, 2026, 6:55 p.m.