Triple
T30644176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon EOS M6 Mark II |
E780072
|
entity |
| Predicate | rawFormat |
P109452
|
FINISHED |
| Object | Canon CR3 RAW |
—
|
NE NERFINISHED |
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: Canon CR3 RAW | Statement: [Canon EOS M6 Mark II, rawFormat, Canon CR3 RAW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rawFormat Context triple: [Canon EOS M6 Mark II, rawFormat, Canon CR3 RAW]
-
A.
openFormat
Indicates that an entity is presented or made available in a format that is open, accessible, and not restricted by proprietary constraints.
-
B.
usedFormat
chosen
Indicates that one entity employs or applies a particular format or representation in relation to another entity.
-
C.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
-
D.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
E.
temporaryFormat
Indicates a relationship where something is given a non-permanent or provisional format, structure, or representation intended only for temporary use.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a58cd808190bc1cdaa106291084 |
completed | May 2, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:29 p.m.