Triple

T15980844
Position Surface form Disambiguated ID Type / Status
Subject STM metro E387565 entity
Predicate zoneSystem P2160 FINISHED
Object ARTM fare zones E993101 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: ARTM fare zones | Statement: [STM metro, zoneSystem, ARTM fare zones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARTM fare zones
Context triple: [STM metro, zoneSystem, ARTM fare zones]
  • A. ARTM fare zones chosen
    ARTM fare zones are the regional public transit fare zones used across Greater Montreal to standardize ticketing and pricing for services including those of the Réseau de transport de Longueuil.
  • B. SPT fare zones
    SPT fare zones are the geographic pricing areas used to determine ticket costs and validity across the Strathclyde Partnership for Transport network in west-central Scotland.
  • C. Metra fare zones
    Metra fare zones are a distance-based pricing system used by the Chicago-area Metra commuter rail network to determine ticket costs between stations.
  • 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. 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.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15754e8648190a93b73184db089a7 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.