Triple
T17349700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissan Versa |
E421775
|
entity |
| Predicate | marketIntroductionYearInUnitedStates |
P27377
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Nissan Versa, marketIntroductionYearInUnitedStates, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketIntroductionYearInUnitedStates Context triple: [Nissan Versa, marketIntroductionYearInUnitedStates, 2006]
-
A.
modelYearLaunchForNorthAmerica
chosen
Indicates the year a model was first launched specifically for the North American market.
-
B.
landingYear
Indicates the year in which a landing event (such as an arrival or touchdown) took place.
-
C.
nationalYears
Indicates the span of years during which an entity was active or affiliated at the national level (e.g., on a national team or in a national role).
-
D.
singleReleaseYearUS
Indicates the year in which a single was released in the United States.
-
E.
emergenceYear
Indicates the calendar year in which something first appeared, originated, or came into existence.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2bd0a881909e71c89773d9273c |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.