Triple

T5101017
Position Surface form Disambiguated ID Type / Status
Subject CoreBluetooth E114979 entity
Predicate namespace P23103 FINISHED
Object CoreBluetooth framework E114979 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: CoreBluetooth framework | Statement: [CoreBluetooth, namespace, CoreBluetooth framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CoreBluetooth framework
Context triple: [CoreBluetooth, namespace, CoreBluetooth framework]
  • A. CoreBluetooth chosen
    CoreBluetooth is an Apple framework that enables apps to communicate with Bluetooth Low Energy (BLE) devices for tasks like data exchange and peripheral control.
  • B. Bluetooth SIG
    Bluetooth SIG is the industry consortium that oversees the development, standardization, and licensing of Bluetooth wireless technology.
  • C. BLE
    BLE is the abbreviation for the German Federal Agency for Agriculture and Food, a government authority responsible for implementing agricultural, food, and rural development policies.
  • D. Bluetooth
    Bluetooth is a short-range wireless communication technology standard used to connect and exchange data between devices such as phones, computers, headphones, and peripherals.
  • E. HealthKit framework
    HealthKit framework is an Apple software framework that enables apps to securely access, store, and share users’ health and fitness data on iOS 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd758381dc8190ac491788d27ab8e0 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8d24388190882b9933a2a798c4 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.