Triple

T6262103
Position Surface form Disambiguated ID Type / Status
Subject Antonov An-32 E140323 entity
Predicate ICAOCode P419 FINISHED
Object AN32
AN32 is the ICAO aircraft type designator for the Antonov An-32, a twin-engine turboprop military transport aircraft.
 E580988 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: AN32 | Statement: [Antonov An-32, ICAOCode, AN32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AN32
Context triple: [Antonov An-32, ICAOCode, AN32]
  • A. ANF
    ANF is a French rolling stock manufacturer known for producing various types of railway vehicles and equipment.
  • B. ANQ
    ANQ is the commonly used acronym for the National Assembly of Quebec, the unicameral legislative body of the Canadian province of Quebec.
  • C. A32
    A32 is an Australian state highway route designation assigned to the Mitchell Highway and associated connecting roads.
  • D. AN
    AN is the abbreviation commonly used for the National Alliance, a political organization.
  • E. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • 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: AN32
Triple: [Antonov An-32, ICAOCode, AN32]
Generated description
AN32 is the ICAO aircraft type designator for the Antonov An-32, a twin-engine turboprop military transport aircraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AN32
Target entity description: AN32 is the ICAO aircraft type designator for the Antonov An-32, a twin-engine turboprop military transport aircraft.
  • A. ANF
    ANF is a French rolling stock manufacturer known for producing various types of railway vehicles and equipment.
  • B. ANQ
    ANQ is the commonly used acronym for the National Assembly of Quebec, the unicameral legislative body of the Canadian province of Quebec.
  • C. A32
    A32 is an Australian state highway route designation assigned to the Mitchell Highway and associated connecting roads.
  • D. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • E. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06386a7b48190b032edd12078c5bc completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2444a71b081908b7686034ce7e01b completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c2a5f01b0081908d056633942ef732 completed March 24, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69c4fb898c5c8190a1ded1fe8ab2bc10 completed March 26, 2026, 9:25 a.m.
Created at: March 22, 2026, 4:25 p.m.