Triple

T3381764
Position Surface form Disambiguated ID Type / Status
Subject Air Berlin E71201 entity
Predicate ICAOcode P419 FINISHED
Object BER
BER is the ICAO airline designator formerly used by the now-defunct German carrier Air Berlin.
 E356601 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: BER | Statement: [Air Berlin, ICAOcode, BER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BER
Context triple: [Air Berlin, ICAOcode, BER]
  • A. BER
    BER is Berlin Brandenburg Airport, the main international airport serving Germany’s capital region.
  • B. BEL
    BEL is the ICAO airline designator used to identify Brussels Airlines in international aviation operations.
  • C. BEL
    BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
  • D. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • E. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • 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: BER
Triple: [Air Berlin, ICAOcode, BER]
Generated description
BER is the ICAO airline designator formerly used by the now-defunct German carrier Air Berlin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BER
Target entity description: BER is the ICAO airline designator formerly used by the now-defunct German carrier Air Berlin.
  • A. BER
    BER is Berlin Brandenburg Airport, the main international airport serving Germany’s capital region.
  • B. BEL
    BEL is the ICAO airline designator used to identify Brussels Airlines in international aviation operations.
  • C. BEL
    BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
  • D. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • E. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5e9af608190bfb228ef99a87bb7 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35462c69481909700f01bacdac3e1 completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b355a7dc308190ba8ab0db251592a2 completed March 13, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3566da174819086160cd254e0a443 completed March 13, 2026, 12:12 a.m.
Created at: March 8, 2026, 3:14 p.m.