Triple

T29912145
Position Surface form Disambiguated ID Type / Status
Subject AVAudioSession E759694 entity
Predicate hasNotification P173704 FINISHED
Object AVAudioSessionInterruptionNotification
AVAudioSessionInterruptionNotification is a system notification in iOS that informs apps when their audio session has been interrupted, such as by phone calls or Siri.
E1889978 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: AVAudioSessionInterruptionNotification | Statement: [AVAudioSession, hasNotification, AVAudioSessionInterruptionNotification]
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: AVAudioSessionInterruptionNotification
Triple: [AVAudioSession, hasNotification, AVAudioSessionInterruptionNotification]
Generated description
AVAudioSessionInterruptionNotification is a system notification in iOS that informs apps when their audio session has been interrupted, such as by phone calls or Siri.

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_69f224600590819085e148a01c056ef6 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_6a0000b91c948190a129ae2a2f6cc7f3 completed May 10, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1f0392881909237df9458780070 completed June 8, 2026, 4:46 p.m.
NEDg Description generation batch_6a26f3db3c4c8190afee1a0b06ade0fd completed June 8, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_6a26f46b6b048190ae3168913b1b1ce8 completed June 8, 2026, 4:57 p.m.
Created at: April 29, 2026, 6:10 p.m.