Triple
T30358347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-mount |
E772205
|
entity |
| Predicate | supportsLensSeries |
P169100
|
FINISHED |
| Object | Fujinon XF |
E1912020
|
NE 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: Fujinon XF | Statement: [Fujifilm X-mount, supportsLensSeries, Fujinon XF]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLensSeries Context triple: [Fujifilm X-mount, supportsLensSeries, Fujinon XF]
-
A.
lensSeries
chosen
Indicates that one lens belongs to, or is part of, a particular series or product line of lenses.
-
B.
usesLensBrand
Indicates that one entity employs or operates using a lens produced by a specific brand.
-
C.
usesLensMount
Indicates that one device or component is designed to accept, attach to, or operate with a specific type of lens mount.
-
D.
includesLensCase
Indicates that an item or product comes with a lens case as part of its contents or accessories.
-
E.
hasSupportSeries
Indicates that one entity is backed, reinforced, or maintained by a sequence or set of supporting elements provided by another entity.
- F. None of above.
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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2798a315248190ae4039e6310f8213 |
completed | June 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:57 p.m.