Triple
T38664699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P40DC |
E940420
|
entity |
| Predicate | hasCabDesign |
P65309
|
FINISHED |
| Object | monocoque carbody |
—
|
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: monocoque carbody | Statement: [P40DC, hasCabDesign, monocoque carbody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCabDesign Context triple: [P40DC, hasCabDesign, monocoque carbody]
-
A.
hasCabDesignSimilarTo
Indicates that one entity’s cab design is similar or comparable in form, layout, or style to that of another entity.
-
B.
hasCabType
chosen
Indicates that an entity is associated with or characterized by a specific type or category of cab.
-
C.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
D.
hasCabPosition
Indicates that an entity has a specific position or placement of a cab relative to its overall structure or configuration.
-
E.
hasCabEndFeature
Indicates that an entity possesses a specific feature or characteristic located at the cab end.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a007338002081908cb6340d65ff86d5 |
completed | May 10, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a0072a137ac8190a7debeb28e738e03 |
completed | May 10, 2026, 11:57 a.m. |
Created at: May 3, 2026, 4:33 p.m.