Triple
T7214930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysler Pacifica |
E149506
|
entity |
| Predicate | emissionsVariant |
P52295
|
FINISHED |
| Object | plug-in hybrid electric vehicle (PHEV) version |
—
|
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: plug-in hybrid electric vehicle (PHEV) version | Statement: [Chrysler Pacifica, emissionsVariant, plug-in hybrid electric vehicle (PHEV) version]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emissionsVariant Context triple: [Chrysler Pacifica, emissionsVariant, plug-in hybrid electric vehicle (PHEV) version]
-
A.
emissionType
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.
emissionsComparedToPredecessor
Indicates how the emissions of an entity compare in magnitude (e.g., higher, lower, or equal) to those of its immediate predecessor.
-
D.
carTypeVariant
chosen
Indicates that one car type is a specific variant or version of another car type.
-
E.
emissionsComparedToDiesel
Indicates how the emissions produced by something compare in amount or impact to those produced by diesel.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98ebe1c81909891b4a1c2c3a4aa |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:53 p.m.