Triple

T5101002
Position Surface form Disambiguated ID Type / Status
Subject CoreBluetooth E114979 entity
Predicate keyClass P61112 FINISHED
Object CBService
CBService is a CoreBluetooth framework class that represents a Bluetooth LE service, grouping related characteristics on a remote peripheral.
E494406 NE FINISHED

How this triple was built (4 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: CBService | Statement: [CoreBluetooth, keyClass, CBService]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBService
Context triple: [CoreBluetooth, keyClass, CBService]
  • A. Cbus
    Cbus is a common nickname for Columbus, the capital and largest city of Ohio.
  • B. Q service
    The Q service is a New York City Subway line that runs through Brooklyn and Manhattan, providing local and express transit along the BMT Brighton and Broadway lines.
  • C. CYB
    CYB is the IATA airport code for Charles Kirkconnell International Airport serving Cayman Brac in the Cayman Islands.
  • D. CSC
    CSC is the abbreviation for the Council for Strategic Communications, an organization focused on planning and managing high-level communication strategies.
  • E. CSC
    CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CBService
Triple: [CoreBluetooth, keyClass, CBService]
Generated description
CBService is a CoreBluetooth framework class that represents a Bluetooth LE service, grouping related characteristics on a remote peripheral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CBService
Target entity description: CBService is a CoreBluetooth framework class that represents a Bluetooth LE service, grouping related characteristics on a remote peripheral.
  • A. Cbus
    Cbus is a common nickname for Columbus, the capital and largest city of Ohio.
  • B. Q service
    The Q service is a New York City Subway line that runs through Brooklyn and Manhattan, providing local and express transit along the BMT Brighton and Broadway lines.
  • C. CYB
    CYB is the IATA airport code for Charles Kirkconnell International Airport serving Cayman Brac in the Cayman Islands.
  • D. CSC
    CSC is the abbreviation for the Council for Strategic Communications, an organization focused on planning and managing high-level communication strategies.
  • E. CSC
    CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • F. None of above. chosen

Provenance (5 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_69bd77ccb19c8190844c628ff7cfcca2 completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8d24388190882b9933a2a798c4 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebbe7e8e081909814e97001f8cf89 completed March 21, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69bebd33f25c8190a5d9b78ef71847e3 completed March 21, 2026, 3:45 p.m.
Created at: March 20, 2026, 1:40 p.m.