Triple

T17678246
Position Surface form Disambiguated ID Type / Status
Subject Europe/Berlin E440692 entity
Predicate locationRepresentative P128543 FINISHED
Object Berlin NE NERFINISHED

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: [Europe/Berlin, locationRepresentative, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin
Context triple: [Europe/Berlin, locationRepresentative, Berlin]
  • A. Berlin
    Berlin is a small town in South Africa’s Eastern Cape province, situated within the Buffalo City Metropolitan Municipality near East London.
  • B. 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.
  • C. Berlin
    Berlin is a major Ethereum network upgrade that introduced various gas cost optimizations and transaction processing improvements to enhance the blockchain’s efficiency and performance.
  • D. Berlin
    Berlin is a borough in Camden County, New Jersey, known as a suburban community within the Philadelphia metropolitan area.
  • E. Berlin
    Berlin is a charismatic, calculating, and morally ambiguous mastermind and heist leader in the Spanish television series "Money Heist" (La Casa de Papel).
  • 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: locationRepresentative
Context triple: [Europe/Berlin, locationRepresentative, Berlin]
  • A. currentRepresentativeOffice
    Indicates that an entity currently serves as the official representative office for another entity (such as a government, organization, or company).
  • B. employerRepresentative
    Indicates that one entity acts on behalf of, or represents, an employer in an official or work-related capacity.
  • C. humanRepresentative
    Indicates that one entity serves as a human agent or delegate acting on behalf of another entity.
  • D. provinceRepresented
    Indicates that an entity (such as a person or office) serves as the official representative of a particular province.
  • E. cityRepresented
    Indicates that one entity serves as the official representative or governing body for a particular city.
  • F. None of above. chosen

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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6e959c819092d9d33e79bd51f7 completed April 19, 2026, 6 a.m.
PD Predicate disambiguation batch_69e3cde3673c8190a889e14ba1f07dc1 completed April 18, 2026, 6:30 p.m.
PDg Predicate description generation batch_69e3cfaac2b881909e1140339eb1a0dd completed April 18, 2026, 6:38 p.m.
Created at: April 10, 2026, 10:01 a.m.