Triple

T8610885
Position Surface form Disambiguated ID Type / Status
Subject Bluetooth Mesh E203910 entity
Predicate supportsCommunicationModel P31923 FINISHED
Object many-to-many 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: many-to-many | Statement: [Bluetooth Mesh, supportsCommunicationModel, many-to-many]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCommunicationModel
Context triple: [Bluetooth Mesh, supportsCommunicationModel, many-to-many]
  • A. communicationModel
    Indicates the type or framework of communication used or assumed in the relationship between entities.
  • B. supportsNetworkingModel chosen
    Indicates that one entity provides compatibility with, or implementation of, a specified networking model for another entity.
  • C. hasCommunicationInterface
    Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
  • D. communicationCapability
    Indicates that one entity has the ability or means to communicate with another entity through some channel or modality.
  • E. enablesCommunicationWith
    Indicates that one entity provides the means or capability for another entity to communicate with a specified party or system.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ee96ac8190809817c403da2889 completed March 31, 2026, 10:13 p.m.
PD Predicate disambiguation batch_69cc455437488190b7506f820daf6e32 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:25 p.m.