Triple

T5479592
Position Surface form Disambiguated ID Type / Status
Subject SMS E123437 entity
Predicate usesNetworkType P3937 FINISHED
Object cellular 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: cellular network | Statement: [SMS, usesNetworkType, cellular network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesNetworkType
Context triple: [SMS, usesNetworkType, cellular network]
  • A. canUseNetworkType
    Indicates that an entity is permitted or able to operate using a specified type of network.
  • B. networkType chosen
    Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
  • C. basedOnNetwork
    Indicates that something is determined, derived, or operates according to a particular network or network-related characteristics.
  • D. supportsNetworkingModel
    Indicates that one entity provides compatibility with, or implementation of, a specified networking model for another entity.
  • E. networkRequirement
    Indicates that one entity requires access to or use of another entity’s network resources or connectivity to function or be fulfilled.
  • 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_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.
Created at: March 20, 2026, 2:09 p.m.