Triple

T12999595
Position Surface form Disambiguated ID Type / Status
Subject Al Bateen Airport E322132 entity
Predicate IATAcode P418 FINISHED
Object AZI
AZI is the IATA airport code for Al Bateen Executive Airport in Abu Dhabi, United Arab Emirates.
E1015341 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: AZI | Statement: [Al Bateen Airport, IATAcode, AZI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AZI
Context triple: [Al Bateen Airport, IATAcode, AZI]
  • A. AZU
    AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
  • B. AIZ
    AIZ is the ICAO airline designator assigned to Arkia Israeli Airlines, a regional and charter carrier based in Israel.
  • C. Azzi
    Azzi is the surname of Jennifer Azzi, a former American professional basketball player and Olympic gold medalist.
  • D. ASZ
    ASZ is a German vehicle registration code formerly used for the town of Aue-Schwarzenberg in the Erzgebirgskreis district of Saxony.
  • E. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • 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: AZI
Triple: [Al Bateen Airport, IATAcode, AZI]
Generated description
AZI is the IATA airport code for Al Bateen Executive Airport in Abu Dhabi, United Arab Emirates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AZI
Target entity description: AZI is the IATA airport code for Al Bateen Executive Airport in Abu Dhabi, United Arab Emirates.
  • A. AZU
    AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
  • B. AIZ
    AIZ is the ICAO airline designator assigned to Arkia Israeli Airlines, a regional and charter carrier based in Israel.
  • C. Azzi
    Azzi is the surname of Jennifer Azzi, a former American professional basketball player and Olympic gold medalist.
  • D. ASZ
    ASZ is a German vehicle registration code formerly used for the town of Aue-Schwarzenberg in the Erzgebirgskreis district of Saxony.
  • E. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7b268c8190b8bb855e9de23c3b completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c101ea60819098e4d5fb3a9e803a completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c277e6248190870b3bf9869716a7 completed May 3, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69f6c38bc0b08190b76cb0853d99ad82 completed May 3, 2026, 3:39 a.m.
Created at: April 9, 2026, 8:46 p.m.