Triple
T3864668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buick Envision |
E91821
|
entity |
| Predicate | positionInBuickLineup |
P18925
|
FINISHED |
| Object | above Buick Encore GX |
—
|
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: above Buick Encore GX | Statement: [Buick Envision, positionInBuickLineup, above Buick Encore GX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInBuickLineup Context triple: [Buick Envision, positionInBuickLineup, above Buick Encore GX]
-
A.
wheelbaseVariantOf
Indicates a relationship where one vehicle’s wheelbase configuration is a variant or modified version of another vehicle’s wheelbase.
-
B.
enginePlacement
Indicates the spatial or structural position where an engine is located or mounted relative to another object or system.
-
C.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
D.
positionInProductLine
Indicates the specific place or order an item occupies within a defined product line or series.
-
E.
positionInLineup
chosen
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3a253c81909df7dc0422ff7989 |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.