Triple

T5818627
Position Surface form Disambiguated ID Type / Status
Subject Oficina Nacional de Normalización E129048 entity
Predicate abbreviation P43 FINISHED
Object ONN
ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
 E548125 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: ONN | Statement: [Oficina Nacional de Normalización, abbreviation, ONN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ONN
Context triple: [Oficina Nacional de Normalización, abbreviation, ONN]
  • A. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • B. Onn
    Onn is a Malaysian family name most prominently associated with political figures such as former Prime Minister Hussein Onn.
  • C. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • D. ONS
    ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
  • E. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • 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: ONN
Triple: [Oficina Nacional de Normalización, abbreviation, ONN]
Generated description
ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ONN
Target entity description: ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
  • A. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • B. Onn
    Onn is a Malaysian family name most prominently associated with political figures such as former Prime Minister Hussein Onn.
  • C. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • D. ONS
    ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
  • E. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e477c08190a8bd37c879e6b6b8 completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985399488190bcab9702e3b88539 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c0990d00e88190b9f2b34a8cedda3a completed March 23, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69c099770ca88190a91815ec055f6df8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:53 p.m.