Triple
T12020992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 5 series |
E286146
|
entity |
| Predicate | typicalCameraPlacement |
P102821
|
FINISHED |
| Object | rear camera module centered vertically |
—
|
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: rear camera module centered vertically | Statement: [Nokia 5 series, typicalCameraPlacement, rear camera module centered vertically]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCameraPlacement Context triple: [Nokia 5 series, typicalCameraPlacement, rear camera module centered vertically]
-
A.
typicalStillType
Indicates that something represents the usual or characteristic form, style, or configuration that an entity typically has or uses.
-
B.
meetsInCamera
Indicates that two or more entities are physically present together in the same camera frame or shot at the same time.
-
C.
typicalStorePlacement
Indicates the usual or standard physical location where an item is placed or displayed within a store.
-
D.
typicalLivePlacement
Indicates the usual or most common location or environment in which an entity is typically found living or situated.
-
E.
snapSituation
Indicates a situation or context in which a sudden, decisive, or snapshot-like event or state occurs between entities.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.