Triple

T17659387
Position Surface form Disambiguated ID Type / Status
Subject ITU-T Study Group 16 E440208 entity
Predicate standardized P1371 FINISHED
Object T.140
T.140 is an ITU-T standard that defines a protocol for real-time text communication, often used in multimedia and accessibility applications such as text telephony and relay services.
E1280720 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: T.140 | Statement: [ITU-T Study Group 16, standardized, T.140]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T.140
Context triple: [ITU-T Study Group 16, standardized, T.140]
  • A. T.120
    T.120 is an ITU-T standard protocol suite that supports real-time, multipoint data conferencing features such as application sharing and whiteboarding over networks.
  • B. T.128
    T.128 is an ITU-T standard that defines the Remote Desktop Protocol used for sharing and controlling desktops over a network.
  • C. TX-14
    TX-14 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • D. T7
    T7 is a tram line designation used in the Île-de-France public transport network around Paris.
  • E. T4
    T4 is the large, modern main passenger terminal at Adolfo Suárez Madrid–Barajas Airport in Madrid, Spain, known for its distinctive architecture and extensive international flight operations.
  • 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: T.140
Triple: [ITU-T Study Group 16, standardized, T.140]
Generated description
T.140 is an ITU-T standard that defines a protocol for real-time text communication, often used in multimedia and accessibility applications such as text telephony and relay services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: T.140
Target entity description: T.140 is an ITU-T standard that defines a protocol for real-time text communication, often used in multimedia and accessibility applications such as text telephony and relay services.
  • A. T.120
    T.120 is an ITU-T standard protocol suite that supports real-time, multipoint data conferencing features such as application sharing and whiteboarding over networks.
  • B. T.128
    T.128 is an ITU-T standard that defines the Remote Desktop Protocol used for sharing and controlling desktops over a network.
  • C. TX-14
    TX-14 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • D. T7
    T7 is a tram line designation used in the Île-de-France public transport network around Paris.
  • E. T4
    T4 is the large, modern main passenger terminal at Adolfo Suárez Madrid–Barajas Airport in Madrid, Spain, known for its distinctive architecture and extensive international flight operations.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea469448190b2753571f8493aef completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02165a9da081909f18e2b240f15281 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a0216f564f88190863cdb92eb533532 completed May 11, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_6a021784a1188190acc6f4f5d81a8662 completed May 11, 2026, 5:53 p.m.
Created at: April 10, 2026, 9:39 a.m.