Triple
T3740191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BrightDrop Zevo electric van platform |
E79679
|
entity |
| Predicate | emissionsProfile |
P46939
|
FINISHED |
| Object | zero tailpipe emissions |
—
|
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: zero tailpipe emissions | Statement: [BrightDrop Zevo electric van platform, emissionsProfile, zero tailpipe emissions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emissionsProfile Context triple: [BrightDrop Zevo electric van platform, emissionsProfile, zero tailpipe emissions]
-
A.
emissionType
chosen
Indicates the specific category or kind of emission associated with an entity or activity.
-
B.
emissionsControl
Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
-
C.
exhaustType
Indicates the specific kind or configuration of exhaust system associated with an entity.
-
D.
fuelEfficiency
Indicates how effectively an entity uses fuel to perform a given amount of work or travel a certain distance.
-
E.
emitted
Indicates that one entity has released, discharged, or sent out another entity, such as energy, particles, signals, or substances, into its surroundings.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb5344fc8190b183aca5c04e3bcc |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.