Triple

T3381749
Position Surface form Disambiguated ID Type / Status
Subject Berlin Brandenburg Airport E71200 entity
Predicate formerAirportIntegrated P29669 FINISHED
Object Berlin Schönefeld Airport
Berlin Schönefeld Airport was Berlin’s former secondary international airport located southeast of the city, which was eventually incorporated into the new Berlin Brandenburg Airport complex.
E372240 NE FINISHED

How this triple was built (5 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: Berlin Schönefeld Airport | Statement: [Berlin Brandenburg Airport, formerAirportIntegrated, Berlin Schönefeld Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Schönefeld Airport
Context triple: [Berlin Brandenburg Airport, formerAirportIntegrated, Berlin Schönefeld Airport]
  • A. Berlin Brandenburg Airport
    Berlin Brandenburg Airport is the main international airport serving Germany’s capital region, designed to replace and consolidate Berlin’s former commercial airports.
  • B. Schönefeld
    Schönefeld is a municipality just southeast of Berlin in the German state of Brandenburg, known for hosting the Berlin Brandenburg Airport.
  • C. Tegel
    Tegel is a locality in the Reinickendorf borough of Berlin, Germany, historically known for its manor associated with the Humboldt family and later for the former Berlin Tegel Airport.
  • D. Hannover Airport
    Hannover Airport is an international airport serving the city of Hanover in northern Germany, handling passenger and cargo flights for the region.
  • E. Tempelhof Airport
    Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
  • 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: Berlin Schönefeld Airport
Triple: [Berlin Brandenburg Airport, formerAirportIntegrated, Berlin Schönefeld Airport]
Generated description
Berlin Schönefeld Airport was Berlin’s former secondary international airport located southeast of the city, which was eventually incorporated into the new Berlin Brandenburg Airport complex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berlin Schönefeld Airport
Target entity description: Berlin Schönefeld Airport was Berlin’s former secondary international airport located southeast of the city, which was eventually incorporated into the new Berlin Brandenburg Airport complex.
  • A. Berlin Brandenburg Airport
    Berlin Brandenburg Airport is the main international airport serving Germany’s capital region, designed to replace and consolidate Berlin’s former commercial airports.
  • B. Schönefeld
    Schönefeld is a municipality just southeast of Berlin in the German state of Brandenburg, known for hosting the Berlin Brandenburg Airport.
  • C. Tegel
    Tegel is a locality in the Reinickendorf borough of Berlin, Germany, historically known for its manor associated with the Humboldt family and later for the former Berlin Tegel Airport.
  • D. Hannover Airport
    Hannover Airport is an international airport serving the city of Hanover in northern Germany, handling passenger and cargo flights for the region.
  • E. Tempelhof Airport
    Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerAirportIntegrated
Context triple: [Berlin Brandenburg Airport, formerAirportIntegrated, Berlin Schönefeld Airport]
  • A. hasFormerAirport
    Indicates that an entity previously had an airport that is no longer in operation or no longer exists.
  • B. replacedAsMainAirportFor chosen
    Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
  • C. formerAirportStatus
    Indicates that an entity previously held the status of an airport but no longer functions as one.
  • D. airportAlsoKnownAs
    Indicates that an airport is referred to by an alternative name or alias in addition to its primary name.
  • E. namedAfterAirportOriginalName
    Indicates that one entity is named after the original name of an airport, rather than its current or later name.
  • F. None of above.

Provenance (6 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_69b402c6e5bc819099a5148ad509b22d completed March 13, 2026, 12:27 p.m.
NEDg Description generation batch_69b40335a05c8190b51414f284bd6429 completed March 13, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_69b40a6bd4888190a26989e5f6770e2c completed March 13, 2026, 1 p.m.
PD Predicate disambiguation batch_69ada434bae48190a77ea37f9274ad8f completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:14 p.m.