Triple

T15737999
Position Surface form Disambiguated ID Type / Status
Subject Nockebybanan E381524 entity
Predicate fareSystem P395 FINISHED
Object SL fare system E467340 NE FINISHED

How this triple was built (2 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: SL fare system | Statement: [Nockebybanan, fareSystem, SL fare system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL fare system
Context triple: [Nockebybanan, fareSystem, SL fare system]
  • A. SL fare system chosen
    The SL fare system is Stockholm’s integrated public transport ticketing scheme that allows passengers to use a unified range of tickets and travel cards across buses, metro, commuter trains, and other regional services.
  • B. MARC fare system
    The MARC fare system is the ticketing and pricing structure used by Maryland's MARC commuter rail service for travel across its network.
  • C. MetroRide
    MetroRide is a free downtown Denver circulator bus service providing frequent, short-distance connections within the city center.
  • D. VBB fare system
    The VBB fare system is the integrated public transport tariff network covering Berlin and the surrounding Brandenburg region, allowing seamless travel across multiple transport operators and zones with unified tickets.
  • E. RMV fare system
    The RMV fare system is the integrated public transport tariff network for the Rhine-Main region of Germany, covering buses, trams, metros, and regional trains across multiple cities and districts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd6eb888190b7a9b07b76e62c0d completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff830336248190a8bbd8153dd95daa completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.