Triple
T30481882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon EOS R5 |
E775608
|
entity |
| Predicate | hotShoeType |
P169489
|
FINISHED |
| Object | standard hot shoe |
—
|
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: standard hot shoe | Statement: [Canon EOS R5, hotShoeType, standard hot shoe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hotShoeType Context triple: [Canon EOS R5, hotShoeType, standard hot shoe]
-
A.
soleType
Indicates the specific kind or design category of a sole associated with an item (such as footwear or a similar object).
-
B.
footType
Indicates the specific kind or classification of feet that an entity possesses or is characterized by.
-
C.
hasHeelType
Indicates that an item (typically footwear) possesses a specific type or style of heel.
-
D.
shoeColor
Indicates the color attribute associated with a shoe.
-
E.
shotType
Indicates the specific kind or category of shot used or taken in a given context (e.g., in film, photography, or sports).
- F. None of above. chosen
Provenance (4 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68742cc6481908be525603fb6ba97 |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:12 p.m.