Triple

T12645654
Position Surface form Disambiguated ID Type / Status
Subject Nokia E52 E302015 entity
Predicate talkTimeGSMHours P103409 FINISHED
Object up to 8 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 8 | Statement: [Nokia E52, talkTimeGSMHours, up to 8]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: talkTimeGSMHours
Context triple: [Nokia E52, talkTimeGSMHours, up to 8]
  • A. supportsTalkTime chosen
    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. hoursOfAccess
    Indicates the specific time periods or duration during which access to a resource, service, or location is permitted.
  • E. rotationPeriod_hours
    Indicates the length of time, measured in hours, that an object takes to complete one full rotation on its axis.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69d960b47130819097e1162ed4fc993a completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:17 p.m.