Triple
T12718129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3510 |
E303900
|
entity |
| Predicate | hasKeypadType |
P102824
|
FINISHED |
| Object | physical numeric keypad |
—
|
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: physical numeric keypad | Statement: [Nokia 3510, hasKeypadType, physical numeric keypad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeypadType Context triple: [Nokia 3510, hasKeypadType, physical numeric keypad]
-
A.
hasKeypadLayout
Indicates that one entity possesses or uses a specific arrangement or configuration of keys or buttons provided by another entity.
-
B.
hasPhysicalKeypad
chosen
Indicates that an entity is equipped with a tangible, button-based keypad for input or control.
-
C.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
-
D.
hasTypingFeature
Indicates that an entity possesses or supports a particular typing-related characteristic or capability.
-
E.
hasKeyType
Indicates that an entity possesses or is associated with a specific category or type of key.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9625d9da48190ab377f9328a0e1f5 |
completed | April 10, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.