Triple

T1831965
Position Surface form Disambiguated ID Type / Status
Subject Bluetooth E40780 entity
Predicate supportsCommunicationType P3332 FINISHED
Object point-to-point 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: point-to-point | Statement: [Bluetooth, supportsCommunicationType, point-to-point]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCommunicationType
Context triple: [Bluetooth, supportsCommunicationType, point-to-point]
  • A. enablesCommunicationWith
    Indicates that one entity provides the means or capability for another entity to communicate with a specified party or system.
  • B. supportsType
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • C. communicationMode chosen
    Indicates the method or channel through which communication between entities is carried out.
  • D. supportsProduct
    Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
  • E. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb45402688190b9a535b14030c354 completed March 7, 2026, 5:15 a.m.
PD Predicate disambiguation batch_69abafd6a9948190ac2b2743db6f8f69 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:32 p.m.