Triple

T1937132
Position Surface form Disambiguated ID Type / Status
Subject Apple Vision Pro E41466 entity
Predicate connectivity P14324 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 Vision Pro, connectivity, Bluetooth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluetooth
Context triple: [Apple Vision Pro, connectivity, 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c752fc81909baf38ff1cdeb18c completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3044b25c81908a7ebbc6e62a8053 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:36 p.m.