Triple

T2814331
Position Surface form Disambiguated ID Type / Status
Subject Apple Magic Mouse E54246 entity
Predicate usesTechnology P1485 FINISHED
Object Bluetooth E40780 NE 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: Bluetooth | Statement: [Apple Magic Mouse, usesTechnology, Bluetooth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluetooth
Context triple: [Apple Magic Mouse, usesTechnology, Bluetooth]
  • A. Bluetooth chosen
    Bluetooth is a short-range wireless communication technology standard used to connect and exchange data between devices such as phones, computers, headphones, and peripherals.
  • B. Bluetooth SIG
    Bluetooth SIG is the industry consortium that oversees the development, standardization, and licensing of Bluetooth wireless technology.
  • C. Bluetooth Mesh
    Bluetooth Mesh is a networking technology that enables many-to-many device communication over Bluetooth Low Energy for large-scale, robust, and secure IoT deployments.
  • D. Bluetooth Special Interest Group
    The Bluetooth Special Interest Group is the industry consortium that oversees the development, standardization, and licensing of Bluetooth wireless technology.
  • E. Zigbee
    Zigbee is a low-power, wireless mesh networking standard commonly used for home automation and Internet of Things (IoT) devices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4ba34c819085a336498fc326b0 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9f964081909e422aaf1f026dbb completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.