Triple
T30358182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon FTZ mount adapter |
E772202
|
entity |
| Predicate | mountTypeCameraSide |
P2519
|
FINISHED |
| Object | Nikon Z 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: Nikon Z mount | Statement: [Nikon FTZ mount adapter, mountTypeCameraSide, Nikon Z mount]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountTypeCameraSide Context triple: [Nikon FTZ mount adapter, mountTypeCameraSide, Nikon Z mount]
-
A.
trainMounting
Indicates a relationship where an entity is boarding or getting onto a train.
-
B.
mountType
chosen
Indicates the manner or configuration in which one object is mounted or attached to another.
-
C.
rearCameraType
Indicates the specific kind or configuration of camera system located on the rear side of an object or device.
-
D.
mountVehicle
Indicates initiating the action of getting onto or into a vehicle in order to use or ride it.
-
E.
usesCameraType
Indicates that one entity employs or operates a specific type or category of camera.
- 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.