Triple
T15923796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperiale |
E386155
|
entity |
| Predicate | designerBrandNationality |
P16977
|
FINISHED |
| Object | Swiss |
—
|
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: Swiss | Statement: [Imperiale, designerBrandNationality, Swiss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designerBrandNationality Context triple: [Imperiale, designerBrandNationality, Swiss]
-
A.
designerNationality
Indicates that a designer has a specific national or country affiliation.
-
B.
designedBy
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
C.
designerCollaboratedWith
Indicates that a designer worked together with another party on a shared project or creative endeavor.
-
D.
designedByCompanyFoundedBy
Indicates that something was designed by a company that was founded by a specified entity.
-
E.
brandNationality
chosen
Indicates that a brand is associated with or originates from a particular country or nationality.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.