Triple
T18289150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buick Electra |
E438061
|
entity |
| Predicate | statusRelativeToCadillac |
P131203
|
FINISHED |
| Object | below Cadillac in status |
—
|
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: below Cadillac in status | Statement: [Buick Electra, statusRelativeToCadillac, below Cadillac in status]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusRelativeToCadillac Context triple: [Buick Electra, statusRelativeToCadillac, below Cadillac in status]
-
A.
positionWithinBuickLineup
Indicates the relative placement or ranking of a vehicle within Buick’s product lineup.
-
B.
automotiveClassSupported
Indicates that a particular automotive class or category is supported or compatible within a given context or system.
-
C.
statusRelativeToAztecs
Indicates the nature or condition of something in relation to the Aztecs, such as its standing, role, or classification with respect to them.
-
D.
CarOfTheYearIs
Indicates that a particular car has been designated as the "Car of the Year" for a given award, region, or time period.
-
E.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fd65888190afdbb29dc60066af |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:35 a.m.