Triple
T8629217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bentley Mulsanne |
E204357
|
entity |
| Predicate | unveiledYear |
P12484
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Bentley Mulsanne, unveiledYear, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unveiledYear Context triple: [Bentley Mulsanne, unveiledYear, 2009]
-
A.
unveiledInYear
chosen
Indicates the specific calendar year in which something was formally revealed or made publicly known.
-
B.
unveiledOn
Indicates the date or event at which something (such as a product, artwork, or plan) was formally revealed or made public.
-
C.
demonstrationYear
Indicates the year in which a demonstration, display, or public showing of something took place.
-
D.
deploymentYear
Indicates the calendar year in which an entity (such as a system, product, or resource) was first put into active use or operation.
-
E.
unveiledBy
Indicates that something (such as an object, artwork, or project) was formally revealed or presented to the public by a particular agent or entity.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5730309081909a9a0256c9bf5f8f |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc455906f8819082edd79cb4a1cf28 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:27 p.m.