Triple

T10661355
Position Surface form Disambiguated ID Type / Status
Subject Aalborg Airport E251232 entity
Predicate ICAOcode P419 FINISHED
Object EKYT
EKYT is the ICAO airport code for Aalborg Airport, an international airport serving the city of Aalborg in northern Denmark.
 E876562 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: EKYT | Statement: [Aalborg Airport, ICAOcode, EKYT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EKYT
Context triple: [Aalborg Airport, ICAOcode, EKYT]
  • A. EKAT
    EKAT is the ICAO airport code for Anholt Airport, a small airfield serving the Danish island of Anholt in the Kattegat Sea.
  • B. EPKT
    EPKT is the ICAO airport code for Katowice Airport, an international airport serving the Silesian region of southern Poland.
  • C. EK
    EK was the New York Stock Exchange ticker symbol for Eastman Kodak Company, the historic American photography and imaging corporation.
  • D. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • E. Ek
    Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
  • 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: EKYT
Triple: [Aalborg Airport, ICAOcode, EKYT]
Generated description
EKYT is the ICAO airport code for Aalborg Airport, an international airport serving the city of Aalborg in northern Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EKYT
Target entity description: EKYT is the ICAO airport code for Aalborg Airport, an international airport serving the city of Aalborg in northern Denmark.
  • A. EKAT
    EKAT is the ICAO airport code for Anholt Airport, a small airfield serving the Danish island of Anholt in the Kattegat Sea.
  • B. EPKT
    EPKT is the ICAO airport code for Katowice Airport, an international airport serving the Silesian region of southern Poland.
  • C. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • D. EK
    EK was the New York Stock Exchange ticker symbol for Eastman Kodak Company, the historic American photography and imaging corporation.
  • E. Ek
    Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e017f97c8190b22765a6f1e6719d completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a8cabc88190b430cb08ed0fc515 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cd3eab48190a191f0d8278ef761 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.