Triple

T37659537
Position Surface form Disambiguated ID Type / Status
Subject Nokia 7110 E937684 entity
Predicate approximateTalkTime P25992 FINISHED
Object up to 4 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 4 hours | Statement: [Nokia 7110, approximateTalkTime, up to 4 hours]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateTalkTime
Context triple: [Nokia 7110, approximateTalkTime, up to 4 hours]
  • 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. batteryLife chosen
    Indicates how long a device can operate on a single charge or set of batteries before needing to be recharged or replaced.
  • C. banDurationApproximate
    Indicates that the duration of a ban is known only approximately rather than as an exact, precise time period.
  • D. hasTypicalUseTime
    Indicates the usual or expected duration or time period during which something is commonly used or in operation.
  • E. standbyTimeMax
    Indicates the maximum duration an entity can remain in standby mode before requiring action, reset, or power.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffc3f0b19c8190b5a749bc3cad21dd completed May 9, 2026, 11:32 p.m.
PD Predicate disambiguation batch_69ffc1b882808190932b2d43ea5537c9 completed May 9, 2026, 11:22 p.m.
Created at: May 3, 2026, 4:18 p.m.