Triple

T13565834
Position Surface form Disambiguated ID Type / Status
Subject UN Network on Migration E324031 entity
Predicate abbreviation P43 FINISHED
Object UNNM
UNNM is the acronym for the United Nations Network on Migration, a UN coordination mechanism focused on safe, orderly, and regular migration.
 E1047174 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: UNNM | Statement: [UN Network on Migration, abbreviation, UNNM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UNNM
Context triple: [UN Network on Migration, abbreviation, UNNM]
  • A. UNN
    UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
  • B. UNNC
    UNNC is the University of Nottingham Ningbo China, a Sino-foreign joint university located in Ningbo, Zhejiang Province, offering British-style higher education in China.
  • C. NNU
    NNU is a comprehensive public university in Nanjing, China, known for its strong programs in teacher education, humanities, and sciences.
  • D. UNNT
    UNNT is the ICAO airport code for Tolmachevo Airport, the main international airport serving Novosibirsk in Russia.
  • E. NMU
    NMU is the common abbreviation for New Mexico United, a professional soccer club based in Albuquerque that competes in the USL Championship.
  • 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: UNNM
Triple: [UN Network on Migration, abbreviation, UNNM]
Generated description
UNNM is the acronym for the United Nations Network on Migration, a UN coordination mechanism focused on safe, orderly, and regular migration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UNNM
Target entity description: UNNM is the acronym for the United Nations Network on Migration, a UN coordination mechanism focused on safe, orderly, and regular migration.
  • A. UNN
    UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
  • B. UNNC
    UNNC is the University of Nottingham Ningbo China, a Sino-foreign joint university located in Ningbo, Zhejiang Province, offering British-style higher education in China.
  • C. NNU
    NNU is a comprehensive public university in Nanjing, China, known for its strong programs in teacher education, humanities, and sciences.
  • D. UNNT
    UNNT is the ICAO airport code for Tolmachevo Airport, the main international airport serving Novosibirsk in Russia.
  • E. NMU
    NMU is the common abbreviation for New Mexico United, a professional soccer club based in Albuquerque that competes in the USL Championship.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00cecd48190a9a2caff3d424817 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75daf1bfc8190bf22eb9ef242f54f completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75f9c6a8881908a6df0a9a4bbc7ab completed May 3, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7601770ac8190a03be23cfe66d5d1 completed May 3, 2026, 2:47 p.m.
Created at: April 9, 2026, 9:48 p.m.