Triple

T8610859
Position Surface form Disambiguated ID Type / Status
Subject PBAP E203909 entity
Predicate relatedTo P37 FINISHED
Object HFP
HFP is a Bluetooth profile used for hands-free communication, commonly enabling voice calls through car kits and headsets.
 E745313 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: HFP | Statement: [PBAP, relatedTo, HFP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HFP
Context triple: [PBAP, relatedTo, HFP]
  • A. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • B. Fitel
    Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
  • C. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • D. HSPA
    HSPA is a family of mobile broadband technologies that enhance 3G networks by significantly increasing data transfer speeds and overall network performance.
  • E. aptX
    aptX is an audio codec designed to deliver higher-quality, low-latency wireless sound, commonly used over Bluetooth connections for music and media streaming.
  • 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: HFP
Triple: [PBAP, relatedTo, HFP]
Generated description
HFP is a Bluetooth profile used for hands-free communication, commonly enabling voice calls through car kits and headsets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HFP
Target entity description: HFP is a Bluetooth profile used for hands-free communication, commonly enabling voice calls through car kits and headsets.
  • A. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • B. Fitel
    Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
  • C. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • D. HSPA
    HSPA is a family of mobile broadband technologies that enhance 3G networks by significantly increasing data transfer speeds and overall network performance.
  • E. aptX
    aptX is an audio codec designed to deliver higher-quality, low-latency wireless sound, commonly used over Bluetooth connections for music and media streaming.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ee96ac8190809817c403da2889 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91456a88190a7416b0f1a0327d6 completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9e685388190a4be9d2135dc02d0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaababe2c8190bc47430d33bfdbaa completed April 2, 2026, 5:43 p.m.
Created at: March 30, 2026, 6:25 p.m.