Triple

T12367661
Position Surface form Disambiguated ID Type / Status
Subject Measurement and Analysis for Protocols Research Group E294913 entity
Predicate abbreviation P43 FINISHED
Object MAPRG
MAPRG is a research group focused on the measurement and analysis of Internet protocols and network behavior.
 E978070 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: MAPRG | Statement: [Measurement and Analysis for Protocols Research Group, abbreviation, MAPRG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAPRG
Context triple: [Measurement and Analysis for Protocols Research Group, abbreviation, MAPRG]
  • A. MPRT
    MPRT is the Swedish Press and Broadcasting Authority responsible for supervising and regulating press, radio, and television in Sweden.
  • B. MPR
    MPR is the Indonesian acronym for the People's Consultative Assembly, the country's highest constitutional body responsible for key legislative and constitutional functions.
  • C. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • D. PRG
    PRG is the three-letter IATA airport code for Václav Havel Airport Prague, the main international airport serving Prague, Czech Republic.
  • E. MART
    MART is a prominent modern and contemporary art museum in Rovereto, Italy, renowned for its extensive collections and striking contemporary architecture.
  • 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: MAPRG
Triple: [Measurement and Analysis for Protocols Research Group, abbreviation, MAPRG]
Generated description
MAPRG is a research group focused on the measurement and analysis of Internet protocols and network behavior.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAPRG
Target entity description: MAPRG is a research group focused on the measurement and analysis of Internet protocols and network behavior.
  • A. MPRT
    MPRT is the Swedish Press and Broadcasting Authority responsible for supervising and regulating press, radio, and television in Sweden.
  • B. MPR
    MPR is the Indonesian acronym for the People's Consultative Assembly, the country's highest constitutional body responsible for key legislative and constitutional functions.
  • C. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • D. PRG
    PRG is the three-letter IATA airport code for Václav Havel Airport Prague, the main international airport serving Prague, Czech Republic.
  • E. MART
    MART is a prominent modern and contemporary art museum in Rovereto, Italy, renowned for its extensive collections and striking contemporary architecture.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa502988190ba170dee90d9f394 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abdad1c8190b083791d60138f2a completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be4de888190aac94d441748d295 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62d4d0b8881908aa6b67db7d14609 completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:54 p.m.