Triple

T6335634
Position Surface form Disambiguated ID Type / Status
Subject Verkehrsverbund Berlin-Brandenburg E142482 entity
Predicate usesTariffZonesIn P844 FINISHED
Object Berlin E362110 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: [Verkehrsverbund Berlin-Brandenburg, usesTariffZonesIn, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin
Context triple: [Verkehrsverbund Berlin-Brandenburg, usesTariffZonesIn, Berlin]
  • A. 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.
  • B. 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.
  • C. Berlin
    Berlin is a borough in Camden County, New Jersey, known as a suburban community within the Philadelphia metropolitan area.
  • D. Berlin
    Berlin is a charismatic, calculating, and morally ambiguous mastermind and heist leader in the Spanish television series "Money Heist" (La Casa de Papel).
  • E. Berlin AB chosen
    Berlin AB is the central fare zone of Berlin’s public transport network, covering the inner city and surrounding urban areas served by the Verkehrsverbund Berlin-Brandenburg (VBB).
  • 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: usesTariffZonesIn
Context triple: [Verkehrsverbund Berlin-Brandenburg, usesTariffZonesIn, Berlin]
  • A. fareZoneIncludes
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • B. hasFareZone chosen
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • C. hasFareZoneFeature
    Indicates that an entity is associated with a specific fare zone or fare-related area designation.
  • D. hasFareZoneCode
    Indicates that an entity is associated with a specific fare zone identifier used for pricing or tariff purposes.
  • E. hasDutyFreeArea
    Indicates that one entity provides or contains a designated duty-free area for another entity or for certain activities.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654a88a881908d5cb2aa7f22c4c7 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e406787881908648872228d6eac9 completed March 27, 2026, 8:09 p.m.
PD Predicate disambiguation batch_69c060e7e2d48190af9d004236466788 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:30 p.m.