Triple
T2825575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontiac Grand Prix |
E54910
|
entity |
| Predicate | seventhGenerationStartYear |
P43270
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Pontiac Grand Prix, seventhGenerationStartYear, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seventhGenerationStartYear Context triple: [Pontiac Grand Prix, seventhGenerationStartYear, 2004]
-
A.
secondGenerationStartYear
Indicates the calendar year in which the second generation of something (e.g., a product, model, or series) begins.
-
B.
seventhPlanStartYear
Indicates the calendar year in which the seventh plan in a sequence officially begins.
-
C.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
-
D.
secondGenerationYears
Indicates the span of years during which the second generation of something (e.g., a product, system, or lineage) is active, relevant, or in effect.
-
E.
introducedAsBrandBy
Indicates that one entity was presented or launched to the public or a market as a brand by another entity.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde925e688190bb390d3182f8c4f0 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:59 p.m.