Triple
T1118191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet C/K |
E11148
|
entity |
| Predicate | secondGenerationEnd |
P25154
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [Chevrolet C/K, secondGenerationEnd, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondGenerationEnd Context triple: [Chevrolet C/K, secondGenerationEnd, 1972]
-
A.
secondGenerationStartYear
Indicates the calendar year in which the second generation of something (e.g., a product, model, or series) begins.
-
B.
secondGenerationReleaseDate
Indicates the date on which the second generation or version of an item was officially released.
-
C.
secondPhase
Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
-
D.
secondSeriesCode
Indicates that one entity is associated with a secondary or follow-up series identified by a specific code.
-
E.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:43 p.m.