Triple

T2134651
Position Surface form Disambiguated ID Type / Status
Subject Royal Borough of Greenwich E46620 entity
Predicate twinTownLocatedIn P1072 FINISHED
Object Berlin E5567 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 | Statement: [Royal Borough of Greenwich, twinTownLocatedIn, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin
Context triple: [Royal Borough of Greenwich, twinTownLocatedIn, Berlin]
  • A. Berlin chosen
    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.
  • B. Berlin
    Berlin is a charismatic, calculating, and morally ambiguous mastermind and heist leader in the Spanish television series "Money Heist" (La Casa de Papel).
  • 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. Berlin Gesundbrunnen
    Berlin Gesundbrunnen is a major railway and transport hub in northern Berlin, serving regional, long-distance, and S-Bahn trains as well as local U-Bahn and bus connections.
  • 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: twinTownLocatedIn
Context triple: [Royal Borough of Greenwich, twinTownLocatedIn, Berlin]
  • A. hasTwinTown
    Indicates that two towns or cities are officially paired in a twinning relationship, typically for cultural, social, or economic exchange.
  • B. twinCity chosen
    Indicates that two cities are officially recognized as twin (or sister) cities, typically signifying a formal partnership for cultural, economic, or social exchange.
  • C. hasNearbyTown
    Indicates that one location has a town situated close to it in geographic proximity.
  • D. hasTown
    Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
  • E. locatedInResortTown
    Indicates that something is situated within the boundaries of a town that is primarily known as a resort or vacation destination.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbba24004819091ffb9440e8615fa completed March 7, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69af174667b08190b0cf14a878fd4043 completed March 9, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69abb7bf56e481909b0f497d238451cc completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:44 p.m.