Triple

T6837661
Position Surface form Disambiguated ID Type / Status
Subject Azores Airlines E157489 entity
Predicate ICAOcode P419 FINISHED
Object RZO
RZO is the ICAO airline designator used to identify Azores Airlines in international aviation operations.
 E622702 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: RZO | Statement: [Azores Airlines, ICAOcode, RZO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RZO
Context triple: [Azores Airlines, ICAOcode, RZO]
  • A. RZE
    RZE is the IATA airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
  • B. NZRO
    NZRO is the ICAO airport code for Rotorua Airport in New Zealand.
  • C. RBZ
    RBZ is the central bank of Zimbabwe, responsible for issuing the national currency and overseeing the country’s monetary and financial system.
  • D. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • E. RNO
    RNO is the stock ticker symbol for Renault, the French multinational automobile manufacturer listed on the Euronext Paris exchange.
  • 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: RZO
Triple: [Azores Airlines, ICAOcode, RZO]
Generated description
RZO is the ICAO airline designator used to identify Azores Airlines in international aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RZO
Target entity description: RZO is the ICAO airline designator used to identify Azores Airlines in international aviation operations.
  • A. RZE
    RZE is the IATA airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
  • B. NZRO
    NZRO is the ICAO airport code for Rotorua Airport in New Zealand.
  • C. RBZ
    RBZ is the central bank of Zimbabwe, responsible for issuing the national currency and overseeing the country’s monetary and financial system.
  • D. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • E. RNO
    RNO is the stock ticker symbol for Renault, the French multinational automobile manufacturer listed on the Euronext Paris exchange.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67db4008190b86b497bf6f0c73a completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7240321108190860e91ebeb738a8f completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724e915dc8190a82b69939f78420d completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c728ddadd881909c2faa435031a635 completed March 28, 2026, 1:03 a.m.
Created at: March 27, 2026, 2:19 p.m.