Triple
T11976880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia XL (RM-1030) |
E285061
|
entity |
| Predicate | hasPhysicalButtons |
P92562
|
FINISHED |
| Object | volume rocker |
—
|
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: volume rocker | Statement: [Nokia XL (RM-1030), hasPhysicalButtons, volume rocker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalButtons Context triple: [Nokia XL (RM-1030), hasPhysicalButtons, volume rocker]
-
A.
hasFaceButtons
Indicates that an object or device includes one or more interactive buttons located on its front-facing surface.
-
B.
hasButtons
chosen
Indicates that an entity possesses one or more buttons as part of its features or design.
-
C.
hasDedicatedCameraButton
Indicates that an object or device includes a specific physical button intended solely for activating or controlling the camera function.
-
D.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
-
E.
hasIOPads
Indicates that an entity is equipped with or associated with input/output pads used for electrical or signal connections.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.