Triple
T7214931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysler Pacifica |
E149506
|
entity |
| Predicate | roleInBrand |
P41673
|
FINISHED |
| Object | core model in Chrysler lineup |
—
|
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: core model in Chrysler lineup | Statement: [Chrysler Pacifica, roleInBrand, core model in Chrysler lineup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBrand Context triple: [Chrysler Pacifica, roleInBrand, core model in Chrysler lineup]
-
A.
brandingRole
chosen
Indicates the specific function or responsibility an entity has in creating, managing, or representing a brand within a branding context.
-
B.
roleInAmazon
Indicates that one entity holds a specific role, position, or function within Amazon in relation to the other entity.
-
C.
roleInVox
Indicates that an entity holds a specific role or function within a Vox-related context, such as a project, system, or organization named or described as "Vox."
-
D.
roleInSpecification
Indicates that an entity participates in a specification with a particular role or function within that specification.
-
E.
roleInDialogue
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
- 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.