Triple

T3390367
Position Surface form Disambiguated ID Type / Status
Subject Berliner Verkehrsbetriebe E71401 entity
Predicate usesTicketSystem P3383 FINISHED
Object Berlin ABC fare zones
Berlin ABC fare zones are the three concentric public transport tariff areas covering central Berlin, its outer districts, and surrounding suburbs used for ticket pricing across the city’s transit network.
E353417 NE FINISHED

How this triple was built (5 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 ABC fare zones | Statement: [Berliner Verkehrsbetriebe, usesTicketSystem, Berlin ABC fare zones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin ABC fare zones
Context triple: [Berliner Verkehrsbetriebe, usesTicketSystem, Berlin ABC fare zones]
  • A. London fare zones
    London fare zones are the concentric geographic pricing areas used by Transport for London to determine ticket and travel costs across the city’s public transport network.
  • B. Berlin S-Bahn fare zone B
    Berlin S-Bahn fare zone B is the middle ring of Berlin’s public transport tariff system, covering suburban areas outside the city center but within the city limits.
  • C. London fare zone 4
    London fare zone 4 is a mid-range public transport tariff zone in Greater London used to calculate fares on services such as the Underground, Overground, and National Rail.
  • D. Metrolink fare zones
    Metrolink fare zones are the concentric pricing areas used to calculate ticket costs across Greater Manchester’s Metrolink tram network.
  • E. Paris public transport Zone 1
    Paris public transport Zone 1 is the central fare zone of the Île-de-France transit network, covering the core of Paris and its main urban transport hubs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Berlin ABC fare zones
Triple: [Berliner Verkehrsbetriebe, usesTicketSystem, Berlin ABC fare zones]
Generated description
Berlin ABC fare zones are the three concentric public transport tariff areas covering central Berlin, its outer districts, and surrounding suburbs used for ticket pricing across the city’s transit network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berlin ABC fare zones
Target entity description: Berlin ABC fare zones are the three concentric public transport tariff areas covering central Berlin, its outer districts, and surrounding suburbs used for ticket pricing across the city’s transit network.
  • A. London fare zones
    London fare zones are the concentric geographic pricing areas used by Transport for London to determine ticket and travel costs across the city’s public transport network.
  • B. Berlin S-Bahn fare zone B
    Berlin S-Bahn fare zone B is the middle ring of Berlin’s public transport tariff system, covering suburban areas outside the city center but within the city limits.
  • C. London fare zone 4
    London fare zone 4 is a mid-range public transport tariff zone in Greater London used to calculate fares on services such as the Underground, Overground, and National Rail.
  • D. Metrolink fare zones
    Metrolink fare zones are the concentric pricing areas used to calculate ticket costs across Greater Manchester’s Metrolink tram network.
  • E. Paris public transport Zone 1
    Paris public transport Zone 1 is the central fare zone of the Île-de-France transit network, covering the core of Paris and its main urban transport hubs.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTicketSystem
Context triple: [Berliner Verkehrsbetriebe, usesTicketSystem, Berlin ABC fare zones]
  • A. hasTicketing chosen
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • B. usedInE-tickets
    Indicates that something (such as a method, technology, or feature) is employed or applied within the context of electronic tickets (e-tickets).
  • C. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • D. ticketSystem
    Indicates a relationship where an entity is managed, tracked, or processed through a ticket-based system for handling requests, issues, or tasks.
  • E. hasTicketInspection
    Indicates that a ticket is checked or verified by an authorized inspector or system.
  • F. None of above.

Provenance (6 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb6682c708190b76a7a16cee7c5aa completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3345a95ac819098be25233b8e0ed5 completed March 12, 2026, 9:47 p.m.
NEDg Description generation batch_69b33542a1008190a1cc4aec663d97bc completed March 12, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_69b3391c4e24819082e9a0f50c1afab8 completed March 12, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69adadf705608190975423779430cc58 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:14 p.m.