Triple

T9432271
Position Surface form Disambiguated ID Type / Status
Subject Edgewood station E227409 entity
Predicate fareSystem P395 FINISHED
Object MARC fare zones E534823 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: MARC fare zones | Statement: [Edgewood station, fareSystem, MARC fare zones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARC fare zones
Context triple: [Edgewood station, fareSystem, MARC fare zones]
  • A. MARC fare system chosen
    The MARC fare system is the ticketing and pricing structure used by Maryland's MARC commuter rail service for travel across its network.
  • B. MBTA Commuter Rail fare zones
    MBTA Commuter Rail fare zones are a distance-based pricing system that divides stations into concentric zones around Boston to determine commuter rail ticket and pass costs.
  • C. Metrolink fare zones
    Metrolink fare zones are the concentric pricing areas used to calculate ticket costs across Greater Manchester’s Metrolink tram network.
  • D. 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.
  • E. Metro-North fare zones
    Metro-North fare zones are the distance-based pricing regions used by the Metro-North Railroad to determine commuter rail ticket costs across its 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e6059bc8190a7e98aef3caabd0b completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104033c08190a3670b017bd984d5 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:49 p.m.