Triple
T9550264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α6000 series |
E230402
|
entity |
| Predicate | supportsInterchangeableAccessories |
P86895
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sony α6000 series, supportsInterchangeableAccessories, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInterchangeableAccessories Context triple: [Sony α6000 series, supportsInterchangeableAccessories, true]
-
A.
supportsInterchangeableLenses
chosen
Indicates that one entity is capable of using or accommodating different lenses that can be removed and replaced interchangeably.
-
B.
hasAccessoryEcosystem
Indicates that an entity is associated with a surrounding set of compatible accessories, add-ons, or peripheral products designed to work with it.
-
C.
compatibleSign
Indicates that two entities are considered astrologically harmonious or well-matched based on their zodiac signs.
-
D.
supportsInventoryType
Indicates that one entity is capable of handling, managing, or being compatible with a specified type of inventory.
-
E.
mechanicalCompatibility
Indicates that two entities can function together properly from a mechanical standpoint, without interference, damage, or performance issues.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9906bc90819086f105c453e63c83 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:02 p.m.