Triple

T23439054
Position Surface form Disambiguated ID Type / Status
Subject Bornholm Airport E565344 entity
Predicate ICAOcode P419 FINISHED
Object EKRN
EKRN is the ICAO airport code for Bornholm Airport, a regional airport serving the Danish island of Bornholm.
 E1585451 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: EKRN | Statement: [Bornholm Airport, ICAOcode, EKRN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EKRN
Context triple: [Bornholm Airport, ICAOcode, EKRN]
  • A. KRN
    KRN is the abbreviation for the Krajowa Rada Narodowa, the wartime Polish parliament established by communists in 1943 as a rival authority to the government-in-exile.
  • B. EKR
    EKR is the Swiss Federal Commission against Racism, an independent expert body that advises authorities and promotes measures to combat racism and discrimination in Switzerland.
  • C. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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 the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • 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: EKRN
Triple: [Bornholm Airport, ICAOcode, EKRN]
Generated description
EKRN is the ICAO airport code for Bornholm Airport, a regional airport serving the Danish island of Bornholm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EKRN
Target entity description: EKRN is the ICAO airport code for Bornholm Airport, a regional airport serving the Danish island of Bornholm.
  • A. KRN
    KRN is the abbreviation for the Krajowa Rada Narodowa, the wartime Polish parliament established by communists in 1943 as a rival authority to the government-in-exile.
  • B. EKR
    EKR is the Swiss Federal Commission against Racism, an independent expert body that advises authorities and promotes measures to combat racism and discrimination in Switzerland.
  • C. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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 the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5de713c8190b35bfa66dddbd5af completed April 29, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b363e08190b4fe2011a42f7835 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c72171580819097c9f287d501ae7e completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76c54ba08190be8f46bacb22b6a3 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:50 p.m.