Triple
T6965492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Car Shoe |
E161476
|
entity |
| Predicate | hasBrandOriginStyle |
P59353
|
FINISHED |
| Object | Italian style |
—
|
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: Italian style | Statement: [Car Shoe, hasBrandOriginStyle, Italian style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBrandOriginStyle Context triple: [Car Shoe, hasBrandOriginStyle, Italian style]
-
A.
hasOriginalsBrand
Indicates that one entity is associated with, or belongs to, the Originals brand of another entity.
-
B.
hasDesignOrigin
Indicates that one entity is the source, inspiration, or original model from which the design of another entity is derived.
-
C.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
-
D.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
E.
originCountryStyle
chosen
Indicates that something is characterized by or created in the style or manner typical of a particular country of origin.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db1049e0819097099a0e9d15f787 |
completed | March 27, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.