Triple

T5263787
Position Surface form Disambiguated ID Type / Status
Subject Hannover Airport E118889 entity
Predicate ICAOcode P419 FINISHED
Object EDDV
EDDV is the ICAO airport code for Hannover Airport, a major international airport serving the city of Hanover in northern Germany.
E507281 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: EDDV | Statement: [Hannover Airport, ICAOcode, EDDV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDDV
Context triple: [Hannover Airport, ICAOcode, EDDV]
  • A. EDDM
    EDDM is the ICAO airport code for Munich Airport, a major international aviation hub in Germany.
  • B. EDDT
    EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • C. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • D. EDDF
    EDDF is the ICAO airport code for Frankfurt Airport, one of Europe’s busiest international aviation hubs located in Frankfurt, Germany.
  • E. EDDI
    EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
  • 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: EDDV
Triple: [Hannover Airport, ICAOcode, EDDV]
Generated description
EDDV is the ICAO airport code for Hannover Airport, a major international airport serving the city of Hanover in northern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EDDV
Target entity description: EDDV is the ICAO airport code for Hannover Airport, a major international airport serving the city of Hanover in northern Germany.
  • A. EDDM
    EDDM is the ICAO airport code for Munich Airport, a major international aviation hub in Germany.
  • B. EDDT
    EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • C. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • D. EDDF
    EDDF is the ICAO airport code for Frankfurt Airport, one of Europe’s busiest international aviation hubs located in Frankfurt, Germany.
  • E. EDDI
    EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd4a9888190a79ef8e64c764f86 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe88ba588190b130f1857536816f completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff4322308190b252820e7213f05e completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69beffe02d208190b857d6aaa4d85dae completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.