Triple
T30358523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony FE 200-600mm f/5.6-6.3 G OSS |
E772209
|
entity |
| Predicate | stabilizationName |
P169101
|
FINISHED |
| Object | Optical SteadyShot |
—
|
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: Optical SteadyShot | Statement: [Sony FE 200-600mm f/5.6-6.3 G OSS, stabilizationName, Optical SteadyShot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stabilizationName Context triple: [Sony FE 200-600mm f/5.6-6.3 G OSS, stabilizationName, Optical SteadyShot]
-
A.
stabilizedBy
Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
-
B.
stabilizationOutcome
Indicates the result or state achieved after a stabilization process has been applied to something.
-
C.
stabilizationWork
Indicates actions taken to reinforce, secure, or steady something to prevent deterioration, failure, or unwanted change.
-
D.
identifierStability
Indicates that an identifier maintains a consistent, unchanging reference to the same entity over time or across different contexts.
-
E.
stabilityDescription
Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
- 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.