Triple
T30358345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-mount |
E772205
|
entity |
| Predicate | innerDiameter |
P169097
|
FINISHED |
| Object | 44 mm |
—
|
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: 44 mm | Statement: [Fujifilm X-mount, innerDiameter, 44 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: innerDiameter Context triple: [Fujifilm X-mount, innerDiameter, 44 mm]
-
A.
shellDiameter
Indicates the diameter measurement of a shell, typically specifying the distance across it at its widest point.
-
B.
bodyDiameter
Indicates the measurement of how wide an object's body is across its broadest cross-section.
-
C.
throatDiameter
Indicates the width or size of the opening of a passage or tube-like structure, typically where flow is most constricted.
-
D.
diameterMini
Indicates that one entity is the minimum diameter measurement associated with another entity.
-
E.
trackDiameter
Indicates the diameter measurement of a track, typically specifying the width across its circular or rounded layout.
- F. None of above. chosen
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_69f682417ec08190982dd9acf7219742 |
completed | May 2, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 7:57 p.m.