Triple

T3068617
Position Surface form Disambiguated ID Type / Status
Subject Abu Dhabi International Airport E62165 entity
Predicate IATAcode P418 FINISHED
Object AUH
AUH is the three-letter IATA airport code for Abu Dhabi International Airport, the main international gateway to the capital of the United Arab Emirates.
 E322129 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: AUH | Statement: [Abu Dhabi International Airport, IATAcode, AUH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUH
Context triple: [Abu Dhabi International Airport, IATAcode, AUH]
  • A. UAH
    UAH is the currency code for the Ukrainian hryvnia, the official national currency of Ukraine.
  • B. ACU
    ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
  • C. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • D. ULM School of Aviation
    ULM School of Aviation is the aviation education and training program of the University of Louisiana at Monroe, offering professional pilot and aviation-related degree pathways.
  • E. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • 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: AUH
Triple: [Abu Dhabi International Airport, IATAcode, AUH]
Generated description
AUH is the three-letter IATA airport code for Abu Dhabi International Airport, the main international gateway to the capital of the United Arab Emirates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUH
Target entity description: AUH is the three-letter IATA airport code for Abu Dhabi International Airport, the main international gateway to the capital of the United Arab Emirates.
  • A. UAH
    UAH is the currency code for the Ukrainian hryvnia, the official national currency of Ukraine.
  • B. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • C. ACU
    ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
  • D. ULM School of Aviation
    ULM School of Aviation is the aviation education and training program of the University of Louisiana at Monroe, offering professional pilot and aviation-related degree pathways.
  • E. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0ffcc208190962cc9edcbf43c31 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef1972e08190942a068c0c563e52 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1efa970cc819093740b6663cc6ad7 completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f062abf48190ab891463c5b33622 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:02 p.m.