Triple

T23090496
Position Surface form Disambiguated ID Type / Status
Subject Anapa Airport E575733 entity
Predicate IATAcode P418 FINISHED
Object AAQ
AAQ is the IATA airport code for Anapa Airport, a regional airport serving the resort city of Anapa on Russia’s Black Sea coast.
E1570212 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: AAQ | Statement: [Anapa Airport, IATAcode, AAQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AAQ
Context triple: [Anapa Airport, IATAcode, AAQ]
  • A. QAA
    QAA is the United Kingdom’s independent body responsible for monitoring and advising on standards and quality in higher education.
  • B. QAA
    QAA is the vehicle registration code assigned to motor vehicles registered in Quetta, the capital city of Pakistan’s Balochistan province.
  • C. AA
    AA is the common abbreviation for Arthur Andersen, the former Big Five accounting firm that collapsed following its involvement in the Enron scandal.
  • D. AA
    AA is the vehicle registration code used on license plates to identify motor vehicles registered in the town of Aalen, Germany.
  • E. AA
    AA is the common abbreviation for "All American," a term often used in the United States to denote exemplary athletes, products, or qualities that embody traditional American ideals.
  • 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: AAQ
Triple: [Anapa Airport, IATAcode, AAQ]
Generated description
AAQ is the IATA airport code for Anapa Airport, a regional airport serving the resort city of Anapa on Russia’s Black Sea coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AAQ
Target entity description: AAQ is the IATA airport code for Anapa Airport, a regional airport serving the resort city of Anapa on Russia’s Black Sea coast.
  • A. QAA
    QAA is the United Kingdom’s independent body responsible for monitoring and advising on standards and quality in higher education.
  • B. QAA
    QAA is the vehicle registration code assigned to motor vehicles registered in Quetta, the capital city of Pakistan’s Balochistan province.
  • C. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • D. AA
    AA is the common abbreviation for Arthur Andersen, the former Big Five accounting firm that collapsed following its involvement in the Enron scandal.
  • E. AA
    AA is a historic minor league professional baseball organization in the United States that has served as a key developmental league for Major League Baseball.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da99bec81908ecadf8dab10d1b7 completed April 29, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b77f7c8190b374a581b776d155 completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c17791f8481909f0f42f9122e0c3a completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1863ea2c81909345cb5701fcd8ed completed May 19, 2026, 7:59 a.m.
Created at: April 17, 2026, 3:57 p.m.