Triple

T12367352
Position Surface form Disambiguated ID Type / Status
Subject Network Management Research Group E294906 entity
Predicate abbreviation P43 FINISHED
Object NMRG
NMRG is a research-focused subgroup within the Internet Research Task Force that explores advanced and experimental approaches to network management.
E978064 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: NMRG | Statement: [Network Management Research Group, abbreviation, NMRG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NMRG
Context triple: [Network Management Research Group, abbreviation, NMRG]
  • A. NMRCL
    NMRCL is the corporate entity responsible for developing, operating, and maintaining the Nagpur Metro rail system in Nagpur, India.
  • B. N-R-G
    "N-R-G" is a 1990 rave/acid house track by British producer Adamski that became one of his early breakthrough club hits.
  • C. NRM
    NRM is Uganda’s ruling political party, founded by Yoweri Museveni and known for leading the guerrilla struggle that brought him to power in 1986.
  • D. MNR
    MNR is the abbreviated designation for the National Republican Navy, the maritime military force of the Italian Social Republic during World War II.
  • E. MNR
    MNR is the central government ministry of China responsible for managing the country’s natural resources, including land, minerals, and maritime areas.
  • 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: NMRG
Triple: [Network Management Research Group, abbreviation, NMRG]
Generated description
NMRG is a research-focused subgroup within the Internet Research Task Force that explores advanced and experimental approaches to network management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NMRG
Target entity description: NMRG is a research-focused subgroup within the Internet Research Task Force that explores advanced and experimental approaches to network management.
  • A. NMRCL
    NMRCL is the corporate entity responsible for developing, operating, and maintaining the Nagpur Metro rail system in Nagpur, India.
  • B. N-R-G
    "N-R-G" is a 1990 rave/acid house track by British producer Adamski that became one of his early breakthrough club hits.
  • C. NRM
    NRM is Uganda’s ruling political party, founded by Yoweri Museveni and known for leading the guerrilla struggle that brought him to power in 1986.
  • D. MNR
    MNR is the abbreviated designation for the National Republican Navy, the maritime military force of the Italian Social Republic during World War II.
  • E. MNR
    MNR is the central government ministry of China responsible for managing the country’s natural resources, including land, minerals, and maritime areas.
  • 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.