Triple
T12084292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 2700 classic |
E287765
|
entity |
| Predicate | supportsTalkTime |
P103409
|
FINISHED |
| Object | up to 6 hours |
—
|
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: up to 6 hours | Statement: [Nokia 2700 classic, supportsTalkTime, up to 6 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTalkTime Context triple: [Nokia 2700 classic, supportsTalkTime, up to 6 hours]
-
A.
hasSpeakerphone
Indicates that an entity is equipped with or supports the use of a speakerphone function for audio communication.
-
B.
supportsLTE
Indicates that one entity provides compatibility with or functionality for LTE (Long-Term Evolution) cellular communication for another entity.
-
C.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
D.
supportsSMS
Indicates that one entity provides the capability for another entity to send, receive, or otherwise use SMS (Short Message Service) messaging.
-
E.
cellularOptions
Indicates that one entity specifies or provides available cellular network or mobile connectivity options for another entity.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9178814e081908f67e3846718530e |
completed | April 10, 2026, 3:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.