Triple

T15736248
Position Surface form Disambiguated ID Type / Status
Subject Tempelhof E381479 entity
Predicate formerAirportLocatedHere P4949 FINISHED
Object Berlin Tempelhof Airport E11062 NE FINISHED

How this triple was built (3 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 Tempelhof Airport | Statement: [Tempelhof, formerAirportLocatedHere, Berlin Tempelhof Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Tempelhof Airport
Context triple: [Tempelhof, formerAirportLocatedHere, Berlin Tempelhof 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. Tempelhof Airport chosen
    Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
  • C. 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.
  • D. 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.
  • E. Tempelhof
    Tempelhof is a historic district in Berlin, Germany, best known for the former Tempelhof Airport and its vast airfield now used as a public park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerAirportLocatedHere
Context triple: [Tempelhof, formerAirportLocatedHere, Berlin Tempelhof Airport]
  • A. hasFormerAirport chosen
    Indicates that an entity previously had an airport that is no longer in operation or no longer exists.
  • B. previousAirportName
    Indicates the name that an airport was known by before its current name.
  • C. locatedAtAirportCode
    Indicates that an entity is situated at, associated with, or occurs at the airport identified by a specific airport code.
  • D. replacedAsMainAirportFor
    Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
  • E. isLocatedAtAirportServingCity
    Indicates that something is situated at an airport that provides service to a particular city.
  • F. None of above.

Provenance (4 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8300a4248190ba52573b57f31b36 completed May 9, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69e0052c6208819098165d61d378d13b completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:46 a.m.