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.