Triple

T568727
Position Surface form Disambiguated ID Type / Status
Subject TXL E13614 entity
Predicate servedMetropolitanArea P5322 FINISHED
Object Berlin metropolitan area E39254 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 metropolitan area | Statement: [TXL, servedMetropolitanArea, Berlin metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin metropolitan area
Context triple: [TXL, servedMetropolitanArea, Berlin metropolitan area]
  • A. Berlin-Brandenburg metropolitan region chosen
    The Berlin-Brandenburg metropolitan region is a major German metropolitan area centered on the capital city of Berlin and the surrounding state of Brandenburg, serving as a key political, economic, and cultural hub in Central Europe.
  • B. Berlin
    Berlin is the capital and largest city of Germany, historically significant as a focal point of Cold War tensions and a major cultural, political, and economic center in Europe.
  • C. West Berlin
    West Berlin was the Western-aligned, enclave-like portion of Berlin surrounded by East Germany during the Cold War, symbolizing resistance to Soviet pressure and the division of Germany.
  • D. East Berlin
    East Berlin was the Soviet-controlled eastern sector of Berlin that served as the capital of East Germany during the Cold War.
  • E. Grand Paris urban area
    The Grand Paris urban area is the large metropolitan region centered on Paris that encompasses the city and its surrounding suburbs and commuter towns.
  • 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: servedMetropolitanArea
Context triple: [TXL, servedMetropolitanArea, Berlin metropolitan area]
  • A. servedCity
    Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
  • B. cityServedRegion
    Indicates that a city provides services to, or functions as an administrative or economic center for, a specified region.
  • C. representsMetropolitanArea
    Indicates that one entity serves as or corresponds to the metropolitan area associated with another entity.
  • D. operatesInMetropolitanArea chosen
    Indicates that an entity conducts its activities or provides its services within a specified metropolitan area.
  • E. hasMetropolitanAreaName
    Indicates that an entity is associated with a metropolitan area identified by a specific name.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b0406d481908af5fc7bc67103fb completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5914232c481909a39cd3373e3c6c9 completed March 2, 2026, 1:31 p.m.
PD Predicate disambiguation batch_69a494c2caac819086ab316fa49d324c completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.