Triple

T12851513
Position Surface form Disambiguated ID Type / Status
Subject Muanda Airport E307332 entity
Predicate ICAOcode P419 FINISHED
Object FZAG
FZAG is the ICAO airport code for Muanda Airport in the Democratic Republic of the Congo.
E1006796 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: FZAG | Statement: [Muanda Airport, ICAOcode, FZAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FZAG
Context triple: [Muanda Airport, ICAOcode, FZAG]
  • A. FZAB
    FZAB is the ICAO airport code for N’Dolo Airport in Kinshasa, Democratic Republic of the Congo.
  • B. 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.
  • C. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • D. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • E. ZAG
    ZAG is the three-letter IATA airport code for Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
  • 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: FZAG
Triple: [Muanda Airport, ICAOcode, FZAG]
Generated description
FZAG is the ICAO airport code for Muanda Airport in the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FZAG
Target entity description: FZAG is the ICAO airport code for Muanda Airport in the Democratic Republic of the Congo.
  • A. FZAB
    FZAB is the ICAO airport code for N’Dolo Airport in Kinshasa, Democratic Republic of the Congo.
  • B. 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.
  • C. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • D. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • E. ZAG
    ZAG is the three-letter IATA airport code for Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97020eacc81909357b3398d17dc49 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba5059c81908be3b8b371518f41 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69d48e6948190a13afe3b8943d877 completed May 3, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_69f69dfa2b8481908827025a28bfb056 completed May 3, 2026, 12:59 a.m.
Created at: April 9, 2026, 5:36 p.m.