Triple
T30358359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-mount |
E772205
|
entity |
| Predicate | canAdaptFromMount |
P66478
|
FINISHED |
| Object | M42 mount |
—
|
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: M42 mount | Statement: [Fujifilm X-mount, canAdaptFromMount, M42 mount]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAdaptFromMount Context triple: [Fujifilm X-mount, canAdaptFromMount, M42 mount]
-
A.
adaptsFrom
chosen
Indicates that one entity is derived, modified, or transformed from another, preserving core elements while changing form, medium, or context.
-
B.
canBeAdaptedBy
Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
-
C.
mountType
Indicates the manner or configuration in which one object is mounted or attached to another.
-
D.
mountOption
Indicates that a particular configuration option is applied when mounting a filesystem, device, or resource.
-
E.
mountOptionOf
Indicates that a specified mount option is associated with, or applies to, a particular filesystem mount.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682417ec08190982dd9acf7219742 |
completed | May 2, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:57 p.m.