Triple
T35075426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 1600 |
E1011997
|
entity |
| Predicate | talkTimeHours |
P182077
|
FINISHED |
| Object | up to 5.5 |
—
|
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 5.5 | Statement: [Nokia 1600, talkTimeHours, up to 5.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: talkTimeHours Context triple: [Nokia 1600, talkTimeHours, up to 5.5]
-
A.
supportsTalkTime
Indicates that an entity provides or enables a specified duration of talk time for another entity (e.g., a device, plan, or service).
-
B.
airTime
Indicates the duration or scheduling time during which something, typically a broadcast or performance, is transmitted or presented.
-
C.
hasAirtime
Indicates that an entity possesses or is allocated a certain amount of airtime (e.g., broadcast time or mobile call credit).
-
D.
callingStyle
Indicates the manner or convention by which one entity initiates or performs a call or invocation on another entity.
-
E.
callType
Indicates the category or nature of a call (such as its purpose, direction, or handling), distinguishing one kind of call from another.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865a08408190af85d3620b509e67 |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.