Triple
T24309732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1992 North American International Auto Show (as 1993 model) |
E612636
|
entity |
| Predicate | modelYearFeatured |
P4161
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [1992 North American International Auto Show (as 1993 model), modelYearFeatured, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modelYearFeatured Context triple: [1992 North American International Auto Show (as 1993 model), modelYearFeatured, 1993]
-
A.
demonstrationYear
Indicates the year in which a demonstration, display, or public showing of something took place.
-
B.
winnerModelYear
Indicates that a model was the winning model for a particular year.
-
C.
modelYears
chosen
Indicates the association between a product (often a vehicle or device) and the specific calendar years in which that model version was produced or marketed.
-
D.
conceptCarYear
Indicates the year in which a concept car was first introduced, presented, or designated.
-
E.
lastAppearanceYear
Indicates the calendar year in which an entity made its most recent appearance.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29229af3c8190950b70fe5a8dbf6f |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:33 a.m.