Triple

T18323546
Position Surface form Disambiguated ID Type / Status
Subject ITU-T Recommendation G.993.2 E438943 entity
Predicate supportsApplication P15794 FINISHED
Object VoIP NE NERFINISHED

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: VoIP | Statement: [ITU-T Recommendation G.993.2, supportsApplication, VoIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VoIP
Context triple: [ITU-T Recommendation G.993.2, supportsApplication, VoIP]
  • A. VoIP chosen
    VoIP (Voice over Internet Protocol) is a technology that enables voice communications and multimedia sessions to be delivered over Internet Protocol (IP) networks instead of traditional telephone lines.
  • B. SIP
    SIP is the IATA airport code for Simferopol International Airport, the main air gateway to the Crimean Peninsula.
  • C. SIP
    SIP is a Unicode supplementary plane that contains additional CJK ideographs beyond those in the Basic Multilingual Plane.
  • D. SIP
    SIP is a macOS security technology that restricts system-level modifications to protect the operating system from malware and accidental damage.
  • E. SIP
    SIP is the National Rail station code for Shipton railway station in Oxfordshire, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa886508190902ffc26b30731ae completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.