Triple
T30428137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon EF-M lens mount |
E774088
|
entity |
| Predicate | designedForFocusingMethod |
P142681
|
FINISHED |
| Object | electronic focus-by-wire (on many lenses) |
—
|
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: electronic focus-by-wire (on many lenses) | Statement: [Canon EF-M lens mount, designedForFocusingMethod, electronic focus-by-wire (on many lenses)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedForFocusingMethod Context triple: [Canon EF-M lens mount, designedForFocusingMethod, electronic focus-by-wire (on many lenses)]
-
A.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
-
B.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
hasFocusMethod
chosen
Indicates that an entity employs a particular method or approach to direct or manage focus or attention.
-
D.
canonicalFocus
Indicates that one entity is the primary or most representative focus or point of attention in relation to another entity.
-
E.
focusesBy
Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect of it.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 29, 2026, 8:06 p.m.