Triple

T22111951
Position Surface form Disambiguated ID Type / Status
Subject Charlottenlund E546438 entity
Predicate partOfCommuterNetwork P8428 FINISHED
Object Copenhagen S-train and regional network 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: Copenhagen S-train and regional network | Statement: [Charlottenlund, partOfCommuterNetwork, Copenhagen S-train and regional network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen S-train and regional network
Context triple: [Charlottenlund, partOfCommuterNetwork, Copenhagen S-train and regional network]
  • A. S-train network chosen
    The S-train network is Copenhagen’s electrified suburban rail system that connects the city center with its surrounding metropolitan areas through frequent, high-capacity commuter services.
  • B. Copenhagen Metro
    Copenhagen Metro is a rapid transit system in Copenhagen, Denmark, known for its driverless trains, frequent service, and extensive underground and elevated lines connecting key parts of the city and suburbs.
  • C. Copenhagen S-train 5th generation trains
    Copenhagen S-train 5th generation trains are modern electric multiple units used across the Copenhagen S-train network, known for their high frequency, rapid acceleration, and standardized red livery.
  • D. Copenhagen S-train 4th generation trains
    Copenhagen S-train 4th generation trains are a series of electric multiple units used on Copenhagen’s suburban rail network, known for their modern design, high frequency operation, and role as the backbone of the S-train system.
  • E. Copenhagen public transport network
    The Copenhagen public transport network is an integrated system of buses, metro, S-trains, regional trains, and light rail that provides comprehensive urban and suburban mobility across the Greater Copenhagen area.
  • 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: partOfCommuterNetwork
Context triple: [Charlottenlund, partOfCommuterNetwork, Copenhagen S-train and regional network]
  • A. partOfTransitSystem chosen
    Indicates that something is a component or segment within a larger transit or transportation system.
  • B. transportNetworkPartOf
    Indicates that one transport network is a component or subdivision of a larger, encompassing transport network.
  • C. isPublicTransportBackboneOf
    Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
  • D. situatedOnTransportRoute
    Indicates that one entity is located along, on, or directly adjacent to a specified transport route (such as a road, railway, or shipping lane).
  • E. operatesCommuterServiceBetween
    Indicates that an entity runs a commuter transportation service connecting two specified locations.
  • F. None of above.

Provenance (3 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12949cc7881908898ca7dc130f57f completed April 28, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69e71b2ed7348190b6fa2e52f54393fb completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:31 p.m.