Triple
T17625416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 6021 |
E429827
|
entity |
| Predicate | physicalKeypad |
P102824
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nokia 6021, physicalKeypad, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalKeypad Context triple: [Nokia 6021, physicalKeypad, yes]
-
A.
hasPhysicalKeypad
chosen
Indicates that an entity is equipped with a tangible, button-based keypad for input or control.
-
B.
keyReport
Indicates that an entity serves as a primary or central report associated with another entity, such as a main document summarizing key information or findings.
-
C.
hasPhysicalControl
Indicates that one entity currently exercises direct, tangible control or possession over another entity or object.
-
D.
mechanicalKeying
Indicates that one entity physically engages or interlocks with another through a shaped mechanical interface (such as keys, slots, or profiles) to ensure correct positioning, alignment, or coupling.
-
E.
hasKeypadLayout
Indicates that one entity possesses or uses a specific arrangement or configuration of keys or buttons provided by 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbc62e88190b9757dc7c52d7fee |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:52 a.m.