Triple

T8283321
Position Surface form Disambiguated ID Type / Status
Subject DUS E193731 entity
Predicate icaoCode P419 FINISHED
Object EDDL
EDDL is the ICAO airport code for Düsseldorf Airport, a major international airport in Düsseldorf, Germany.
E723399 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: EDDL | Statement: [DUS, icaoCode, EDDL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDDL
Context triple: [DUS, icaoCode, EDDL]
  • A. EDD
    EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
  • B. EDL
    EDL is the National Rail station code for Edale railway station in Derbyshire, England, which serves the village of Edale in the Peak District.
  • C. EDL
    EDL is the IATA airport code for Eldoret International Airport, a key air transport hub in western Kenya.
  • D. EDDK
    EDDK is the ICAO airport code for Cologne Bonn Airport, a major international passenger and cargo hub in western Germany.
  • E. EDDT
    EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of 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: EDDL
Triple: [DUS, icaoCode, EDDL]
Generated description
EDDL is the ICAO airport code for Düsseldorf Airport, a major international airport in Düsseldorf, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EDDL
Target entity description: EDDL is the ICAO airport code for Düsseldorf Airport, a major international airport in Düsseldorf, Germany.
  • A. EDD
    EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
  • B. EDL
    EDL is the National Rail station code for Edale railway station in Derbyshire, England, which serves the village of Edale in the Peak District.
  • C. EDL
    EDL is the IATA airport code for Eldoret International Airport, a key air transport hub in western Kenya.
  • D. EDDK
    EDDK is the ICAO airport code for Cologne Bonn Airport, a major international passenger and cargo hub in western Germany.
  • E. EDDT
    EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7aceec8881909cdfa488dfedc0f5 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6877b8e481908ec1e0b91a5276f6 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d5441248190a9e32281dc8e8d62 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e20f71c8190959319c6683a2810 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:52 p.m.