Triple
T35693758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3210 |
E1031373
|
entity |
| Predicate | supportsSpeedDial |
P207100
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nokia 3210, supportsSpeedDial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSpeedDial Context triple: [Nokia 3210, supportsSpeedDial, true]
-
A.
supportsSpeedControls
Indicates that an entity provides or is compatible with mechanisms to adjust or control speed.
-
B.
supportsVoiceDialing
Indicates that one entity enables or is compatible with initiating phone calls through voice commands for another entity.
-
C.
hasDial
Indicates that an object is equipped with or features a dial control as part of its interface or mechanism.
-
D.
supportsVelocity
Indicates that one entity is capable of handling, providing, or being compatible with velocity-related data, behavior, or operations for another entity.
-
E.
hasDialCount
Indicates that an entity possesses or is associated with a specific number of dials.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.