Triple

T11390005
Position Surface form Disambiguated ID Type / Status
Subject N’Dolo Airport E269810 entity
Predicate ICAOcode P419 FINISHED
Object FZAB
FZAB is the ICAO airport code for N’Dolo Airport in Kinshasa, Democratic Republic of the Congo.
 E923493 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: FZAB | Statement: [N’Dolo Airport, ICAOcode, FZAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FZAB
Context triple: [N’Dolo Airport, ICAOcode, FZAB]
  • A. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • B. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • C. 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.
  • D. FZNP
    FZNP is the ICAO airport code for Beni Airport, a regional airfield serving the city of Beni in the Democratic Republic of the Congo.
  • E. LFBZ
    LFBZ is the ICAO airport code for Biarritz Pays Basque Airport, a regional international airport serving Biarritz and the French Basque Country.
  • 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: FZAB
Triple: [N’Dolo Airport, ICAOcode, FZAB]
Generated description
FZAB is the ICAO airport code for N’Dolo Airport in Kinshasa, Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FZAB
Target entity description: FZAB is the ICAO airport code for N’Dolo Airport in Kinshasa, Democratic Republic of the Congo.
  • A. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • B. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • C. 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.
  • D. FZNP
    FZNP is the ICAO airport code for Beni Airport, a regional airfield serving the city of Beni in the Democratic Republic of the Congo.
  • E. LFBZ
    LFBZ is the ICAO airport code for Biarritz Pays Basque Airport, a regional international airport serving Biarritz and the French Basque Country.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c672da48190affacc0f19ef0c7a completed April 20, 2026, 2:16 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.