Triple
T9317808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α9 series |
E224166
|
entity |
| Predicate | ergonomics |
P86451
|
FINISHED |
| Object | integrated handgrip on some models |
—
|
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: integrated handgrip on some models | Statement: [Sony α9 series, ergonomics, integrated handgrip on some models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ergonomics Context triple: [Sony α9 series, ergonomics, integrated handgrip on some models]
-
A.
hasErgonomicType
chosen
Indicates that an object or product is associated with a specific ergonomic classification or design type.
-
B.
handedness
Indicates the preference or dominance of one hand over the other in performing actions or tasks.
-
C.
safetyEquipment
Indicates that one entity serves as safety equipment used to protect another entity from harm or danger.
-
D.
safetyPositioning
Indicates the spatial or situational arrangement of entities to ensure or enhance safety.
-
E.
organ
Indicates that one entity is an organ (a functional body part) of another entity.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358b66148190a918c107490c8406 |
completed | April 1, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:38 p.m.