Triple
T2614762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldsmobile Toronado |
E58860
|
entity |
| Predicate | firstGenerationYears |
P25153
|
FINISHED |
| Object | 1966–1970 |
—
|
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: 1966–1970 | Statement: [Oldsmobile Toronado, firstGenerationYears, 1966–1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGenerationYears Context triple: [Oldsmobile Toronado, firstGenerationYears, 1966–1970]
-
A.
firstGenerationStart
Indicates the point in time or event at which the first generation in a sequence, lineage, or series begins.
-
B.
firstGenerationReleaseDate
Indicates the calendar date on which the first generation or initial version of something was officially released.
-
C.
firstGeneration
Indicates that an entity belongs to the first generation within a defined lineage, sequence, or series relative to other related entities.
-
D.
secondGenerationStartYear
Indicates the calendar year in which the second generation of something (e.g., a product, model, or series) begins.
-
E.
firstGenerationEnd
chosen
Indicates the point in time or event at which the first generation in a sequence, lineage, or process concludes.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.