Triple

T4436642
Position Surface form Disambiguated ID Type / Status
Subject G.729 E95665 entity
Predicate relatedStandard P37 FINISHED
Object G.723.1
G.723.1 is an ITU-T audio codec standard designed for low-bit-rate voice compression, commonly used in VoIP and multimedia communication systems.
 E444376 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: G.723.1 | Statement: [G.729, relatedStandard, G.723.1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: G.723.1
Context triple: [G.729, relatedStandard, G.723.1]
  • A. G.722
    G.722 is a wideband audio codec standard that provides higher-quality voice transmission than traditional narrowband codecs, commonly used in VoIP and teleconferencing applications.
  • B. G.729
    G.729 is a widely used ITU-T audio codec standard that compresses voice for bandwidth-efficient transmission in VoIP and other telephony applications.
  • C. G.711
    G.711 is a widely used ITU-T audio codec standard for pulse code modulation (PCM) of voice in traditional telephony and VoIP systems.
  • D. Speex
    Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
  • E. H.263
    H.263 is a video compression standard developed primarily for low-bitrate communication such as video conferencing and early internet video applications.
  • 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: G.723.1
Triple: [G.729, relatedStandard, G.723.1]
Generated description
G.723.1 is an ITU-T audio codec standard designed for low-bit-rate voice compression, commonly used in VoIP and multimedia communication systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: G.723.1
Target entity description: G.723.1 is an ITU-T audio codec standard designed for low-bit-rate voice compression, commonly used in VoIP and multimedia communication systems.
  • A. G.722
    G.722 is a wideband audio codec standard that provides higher-quality voice transmission than traditional narrowband codecs, commonly used in VoIP and teleconferencing applications.
  • B. G.729
    G.729 is a widely used ITU-T audio codec standard that compresses voice for bandwidth-efficient transmission in VoIP and other telephony applications.
  • C. G.711
    G.711 is a widely used ITU-T audio codec standard for pulse code modulation (PCM) of voice in traditional telephony and VoIP systems.
  • D. Speex
    Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
  • E. H.263
    H.263 is a video compression standard developed primarily for low-bitrate communication such as video conferencing and early internet video applications.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3558b1d4481909060ede5e0ded4bc completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65104d76081908d9164a7deb84277 completed March 15, 2026, 6:26 a.m.
NEDg Description generation batch_69b651b391308190a1da0c9e9c1c1704 completed March 15, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69b65210c5b88190bf0a329f392a9cf6 completed March 15, 2026, 6:30 a.m.
Created at: March 12, 2026, 11:31 p.m.