Triple

T21224438
Position Surface form Disambiguated ID Type / Status
Subject LPWAN E523053 entity
Predicate includesTechnologyFamily P53181 FINISHED
Object LoRaWAN NE NERFINISHED

How this triple was built (3 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: LoRaWAN | Statement: [LPWAN, includesTechnologyFamily, LoRaWAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LoRaWAN
Context triple: [LPWAN, includesTechnologyFamily, LoRaWAN]
  • A. LoRaWAN chosen
    LoRaWAN is a low-power, wide-area networking protocol designed for long-range communication between battery-operated IoT devices and centralized networks.
  • B. LPWAN
    LPWAN (Low-Power Wide-Area Network) is a class of wireless communication technologies designed to connect low-cost, battery-powered devices over long ranges with very low data rates, commonly used in large-scale Internet of Things (IoT) deployments.
  • C. Lora
    Lora is a feminine given name, often considered a variant of Laura, used in various cultures.
  • D. Lora
    Lora is a town and union council located in the Abbottabad District of Pakistan’s Khyber Pakhtunkhwa province.
  • E. LTE-M
    LTE-M is a low-power wide-area cellular technology based on LTE, designed specifically for connecting Internet of Things (IoT) devices with extended coverage and reduced power consumption.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesTechnologyFamily
Context triple: [LPWAN, includesTechnologyFamily, LoRaWAN]
  • A. technologyFamily chosen
    Indicates that one technology belongs to, or is categorized under, a broader family or class of related technologies.
  • B. featuresMobFamily
    Indicates that something includes, portrays, or prominently involves a mob or mafia family as part of its content or structure.
  • C. featuresFamily
    Indicates that something includes, presents, or highlights a family as a central element or subject.
  • D. targetsFamilyOf
    Indicates that one entity is directed against, aimed at, or designed to affect a particular family or group of closely related entities.
  • E. technologyIncludes
    Indicates that one technology encompasses, contains, or incorporates another technology as part of its components, features, or implementation.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734a9c9f88190817b574f916886e5 completed April 21, 2026, 8:26 a.m.
PD Predicate disambiguation batch_69e5f60e1a888190ba75e2e900270a4e completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:44 p.m.