Triple
T27915318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GE Dash 8 series locomotives |
E706052
|
entity |
| Predicate | carbodyStyle |
P66190
|
FINISHED |
| Object | hood unit |
—
|
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: hood unit | Statement: [GE Dash 8 series locomotives, carbodyStyle, hood unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carbodyStyle Context triple: [GE Dash 8 series locomotives, carbodyStyle, hood unit]
-
A.
carBodyStyle
chosen
Indicates the specific body configuration or design style that characterizes a car (e.g., sedan, hatchback, SUV).
-
B.
carbodyMaterial
Indicates the material from which a vehicle’s body or main structural shell is made.
-
C.
carBodyProfile
Indicates the overall shape, contours, and structural outline that define a car’s external body form.
-
D.
oreBodyStyle
Indicates the specific body style or physical form that an ore or mineral deposit exhibits.
-
E.
offersBodyStyle
Indicates that an entity (such as a manufacturer or model line) makes a particular vehicle body style available as an option.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:53 p.m.