Triple
T21887989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Avalon |
E540462
|
entity |
| Predicate | positionInToyotaLineup |
P146062
|
FINISHED |
| Object | above Toyota Camry |
—
|
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 Toyota Camry | Statement: [Toyota Avalon, positionInToyotaLineup, above Toyota Camry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInToyotaLineup Context triple: [Toyota Avalon, positionInToyotaLineup, above Toyota Camry]
-
A.
positionWithinBuickLineup
Indicates the relative placement or ranking of a vehicle within Buick’s product lineup.
-
B.
roleInToyota
Indicates that one entity holds a specific role, position, or function within the organization Toyota.
-
C.
roleInToyotaGroup
Indicates that an entity holds a specific role or position within the organizational structure of the Toyota Group.
-
D.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
E.
CarOfTheYearIs
Indicates that a particular car has been designated as the "Car of the Year" for a given award, region, or time period.
- F. None of above. chosen
Provenance (4 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ee5f1c8190b8c6c431039eb8c9 |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 7:05 p.m.