Triple

T23476810
Position Surface form Disambiguated ID Type / Status
Subject Air Force of Zimbabwe E570284 entity
Predicate hasAbbreviation P43 FINISHED
Object AFZ
AFZ is the air warfare branch of Zimbabwe’s military responsible for aerial defense and support operations.
E1588012 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: AFZ | Statement: [Air Force of Zimbabwe, hasAbbreviation, AFZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFZ
Context triple: [Air Force of Zimbabwe, hasAbbreviation, AFZ]
  • A. FZAA
    FZAA is the ICAO airport code for N’djili International Airport, the main international gateway serving Kinshasa in the Democratic Republic of the Congo.
  • B. FZAG
    FZAG is the ICAO airport code for Muanda Airport in the Democratic Republic of the Congo.
  • C. FAZ
    FAZ was the national military of Zaire under Mobutu Sese Seko, known for its role in internal repression, corruption, and poor combat effectiveness.
  • D. AfA
    AfA is the abbreviation for the Arbeitsgemeinschaft für Arbeitnehmerfragen, a labor-oriented working group within Germany’s Social Democratic Party (SPD) that represents employees’ interests.
  • E. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • 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: AFZ
Triple: [Air Force of Zimbabwe, hasAbbreviation, AFZ]
Generated description
AFZ is the air warfare branch of Zimbabwe’s military responsible for aerial defense and support operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AFZ
Target entity description: AFZ is the air warfare branch of Zimbabwe’s military responsible for aerial defense and support operations.
  • A. FZAA
    FZAA is the ICAO airport code for N’djili International Airport, the main international gateway serving Kinshasa in the Democratic Republic of the Congo.
  • B. FZAG
    FZAG is the ICAO airport code for Muanda Airport in the Democratic Republic of the Congo.
  • C. FAZ
    FAZ was the national military of Zaire under Mobutu Sese Seko, known for its role in internal repression, corruption, and poor combat effectiveness.
  • D. AfA
    AfA is the abbreviation for the Arbeitsgemeinschaft für Arbeitnehmerfragen, a labor-oriented working group within Germany’s Social Democratic Party (SPD) that represents employees’ interests.
  • E. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74cf57081909d2b90a806d68c08 completed April 29, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c82622f08819087b983bfd69efe5d completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6f06a348190bfdba0452077f45b completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7bdf7f08190b50191b029480fc5 completed May 19, 2026, 6:11 p.m.
Created at: April 17, 2026, 6:01 p.m.