Triple

T25114208
Position Surface form Disambiguated ID Type / Status
Subject UQ mobile E629080 entity
Predicate usesFrequencyBandsOf P68289 FINISHED
Object au mobile network 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: au mobile network | Statement: [UQ mobile, usesFrequencyBandsOf, au mobile network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesFrequencyBandsOf
Context triple: [UQ mobile, usesFrequencyBandsOf, au mobile network]
  • A. frequencyBandSupported chosen
    Indicates that an entity supports operation or functionality within a specified frequency band.
  • B. numberOfFrequencyBands
    Indicates the relationship specifying how many distinct frequency bands are associated with or used by an entity.
  • C. frequencyBand
    Indicates the specific range of frequencies within which a signal, measurement, or phenomenon is defined or operates.
  • D. hasFrequencyChannels
    Indicates that an entity is associated with, or operates over, one or more specific frequency channels.
  • E. supportsSingleFrequencyNetworks
    Indicates that an entity enables or is compatible with operating in single frequency networks, where multiple transmitters use the same frequency to provide coordinated coverage.
  • 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_69e2ff3169d08190973b6061d5009abd completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f46579b7708190bc899259bf755f58 completed May 1, 2026, 8:34 a.m.
PD Predicate disambiguation batch_69f442c861188190967655c6d8012380 completed May 1, 2026, 6:06 a.m.
Created at: April 18, 2026, 6:27 a.m.