Triple
T1563767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alitalia |
E33385
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
AZA
AZA is the ICAO airline designator used to identify Alitalia, the former flag carrier airline of Italy, in international aviation operations.
|
E177638
|
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: AZA | Statement: [Alitalia, ICAOcode, AZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZA Context triple: [Alitalia, ICAOcode, AZA]
-
A.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
B.
AZ
AZ is an American rapper from Brooklyn best known for his intricate lyricism and frequent collaborations with Nas, particularly on the classic album "Illmatic."
-
C.
AZ
AZ is the two-letter ISO 3166-1 alpha-2 country code representing Azerbaijan.
-
D.
Association of Zoos and Aquariums
The Association of Zoos and Aquariums is a professional organization that accredits and supports zoos and aquariums committed to high standards of animal care, conservation, education, and research.
-
E.
Zona Zoo
Zona Zoo is the official student cheering section for University of Arizona athletics, known for its large, energetic presence at Wildcats sporting events.
- 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: AZA Triple: [Alitalia, ICAOcode, AZA]
Generated description
AZA is the ICAO airline designator used to identify Alitalia, the former flag carrier airline of Italy, in international aviation operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AZA Target entity description: AZA is the ICAO airline designator used to identify Alitalia, the former flag carrier airline of Italy, in international aviation operations.
-
A.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
B.
AZ
AZ is an American rapper from Brooklyn best known for his intricate lyricism and frequent collaborations with Nas, particularly on the classic album "Illmatic."
-
C.
AZ
AZ is the two-letter ISO 3166-1 alpha-2 country code representing Azerbaijan.
-
D.
Association of Zoos and Aquariums
The Association of Zoos and Aquariums is a professional organization that accredits and supports zoos and aquariums committed to high standards of animal care, conservation, education, and research.
-
E.
Zona Zoo
Zona Zoo is the official student cheering section for University of Arizona athletics, known for its large, energetic presence at Wildcats sporting events.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9089c7b9881909e44fee8053ac189 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3717a9a08190b3d997bb7bc6e14f |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad37e306948190bbaa14829ce094e6 |
completed | March 8, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38d106348190835d753c6cffcc48 |
completed | March 8, 2026, 8:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.