Triple

T5480049
Position Surface form Disambiguated ID Type / Status
Subject VoLTE E123445 entity
Predicate benefitsOperator P64033 FINISHED
Object more efficient use of LTE spectrum for voice 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: more efficient use of LTE spectrum for voice | Statement: [VoLTE, benefitsOperator, more efficient use of LTE spectrum for voice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitsOperator
Context triple: [VoLTE, benefitsOperator, more efficient use of LTE spectrum for voice]
  • A. typicalOperatorService
    Indicates that an entity commonly performs or provides a particular operational service in a standard or expected manner.
  • B. typicalOperator
    Indicates that an entity commonly or normally performs operations on, or acts upon, another entity in a standard or expected manner.
  • C. otherOperator
    Indicates a relationship where one operator is distinguished from, or serves as an alternative to, another operator within the same context or system.
  • D. operatesBy
    Indicates that an entity performs its function, action, or process through the use or application of another entity (e.g., a method, mechanism, or principle).
  • E. usedByOperator
    Indicates that something is utilized or operated by a particular operator or operating entity.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9248ca348190aa116cace0f9b07a completed March 20, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69bd91a58c448190904964a439045e05 completed March 20, 2026, 6:27 p.m.
PDg Predicate description generation batch_69bd9214b8488190979112c7615f359a completed March 20, 2026, 6:29 p.m.
Created at: March 20, 2026, 2:09 p.m.