Triple
T37659771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola A1000 |
E937689
|
entity |
| Predicate | secondaryCameraType |
P104378
|
FINISHED |
| Object | front camera |
—
|
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: front camera | Statement: [Motorola A1000, secondaryCameraType, front camera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryCameraType Context triple: [Motorola A1000, secondaryCameraType, front camera]
-
A.
hasSecondaryCamera
chosen
Indicates that an entity is equipped with or associated with an additional, non-primary camera.
-
B.
rearCameraType
Indicates the specific kind or configuration of camera system located on the rear side of an object or device.
-
C.
rearCameraFeature
Indicates that an entity has a specific characteristic, capability, or attribute related to its rear-facing camera.
-
D.
usesCameraType
Indicates that one entity employs or operates a specific type or category of camera.
-
E.
tipoDeCámara
Indicates the specific type or category of camera associated with an 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffa15d53208190ab8574d6c7913e18 |
completed | May 9, 2026, 9:04 p.m. |
| PD | Predicate disambiguation | batch_69ff9eee681c81909434e79c627cb528 |
completed | May 9, 2026, 8:54 p.m. |
Created at: May 3, 2026, 4:18 p.m.