Triple

T16537473
Position Surface form Disambiguated ID Type / Status
Subject Nokia 1110 E401727 entity
Predicate hasCountdownTimer P54507 FINISHED
Object yes 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: yes | Statement: [Nokia 1110, hasCountdownTimer, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountdownTimer
Context triple: [Nokia 1110, hasCountdownTimer, yes]
  • A. hasTimer
    Indicates that an entity is associated with or controlled by a timer mechanism that measures or limits a duration or interval.
  • B. hasCountingPeriod
    Indicates that there is a defined time span or interval over which occurrences, quantities, or measurements related to an entity are counted or aggregated.
  • C. hasClock
    Indicates that one entity possesses, contains, or is equipped with a clock.
  • D. supportsCountdown chosen
    Indicates that one entity enables or provides functionality for a countdown to be initiated, displayed, or managed for another entity.
  • E. hasCutoffTime
    Indicates that there is a specific time limit or deadline by which an action, event, or process must be completed or initiated.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34559ca948190a9eb810b9b3be079 completed April 18, 2026, 8:48 a.m.
PD Predicate disambiguation batch_69e2969fab208190ad64164d24748c45 completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:15 a.m.