Triple
T30358528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony FE 200-600mm f/5.6-6.3 G OSS |
E772209
|
entity |
| Predicate | filterThreadSize |
P169103
|
FINISHED |
| Object | 95mm |
—
|
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: 95mm | Statement: [Sony FE 200-600mm f/5.6-6.3 G OSS, filterThreadSize, 95mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filterThreadSize Context triple: [Sony FE 200-600mm f/5.6-6.3 G OSS, filterThreadSize, 95mm]
-
A.
threadCount
Indicates the number of concurrent threads associated with an entity, such as a process, task, or execution context.
-
B.
petitionSize
Indicates the number of signatures or participants associated with a given petition.
-
C.
poolSize
Indicates the total number of items, resources, or units available within a defined shared pool.
-
D.
divisionSize
Indicates the size or magnitude of a division or subdivided part in relation to a whole.
-
E.
leafSize
Indicates the size or dimensions of a leaf in relation to a plant or tree.
- 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.