Triple
T30428169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony FE 16-35mm f/2.8 GM |
E774089
|
entity |
| Predicate | diaphragmType |
P169763
|
FINISHED |
| Object | circular aperture |
—
|
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: circular aperture | Statement: [Sony FE 16-35mm f/2.8 GM, diaphragmType, circular aperture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diaphragmType Context triple: [Sony FE 16-35mm f/2.8 GM, diaphragmType, circular aperture]
-
A.
valveType
Indicates the specific kind or category of valve associated with an entity or connection.
-
B.
drumheadType
Indicates the specific kind or category of drumhead used on a drum or percussion instrument.
-
C.
membraneType
Indicates the specific kind or classification of membrane associated with an entity.
-
D.
throatDiameter
Indicates the width or size of the opening of a passage or tube-like structure, typically where flow is most constricted.
-
E.
breathingType
Indicates the specific manner or pattern in which an entity breathes (e.g., type or mode of respiration).
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6866aa9f88190b3e139fb374d6606 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 8:06 p.m.