Triple

T7882117
Position Surface form Disambiguated ID Type / Status
Subject D (New York City Subway service) E183002 entity
Predicate routeDesignationSystem P19168 FINISHED
Object lettered services LITERAL 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: lettered services | Statement: [D (New York City Subway service), routeDesignationSystem, lettered services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: routeDesignationSystem
Context triple: [D (New York City Subway service), routeDesignationSystem, lettered services]
  • A. stateRouteDesignation
    Indicates the specific state-level route number or designation assigned to a roadway within a state highway system.
  • B. mapDesignation chosen
    Indicates a formal label or identifier that is assigned to something specifically for use on a map.
  • C. roadSystem
    Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
  • D. routeNumberingAuthority
    Indicates the authority or organization responsible for assigning and managing the official number designation of a route.
  • E. roadNumberingZone
    Indicates the designated numbering zone or area within which a particular road’s identification or route number is assigned.
  • 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39c14a188190a225ca3c7e515b0c completed March 31, 2026, 3:04 a.m.
PD Predicate disambiguation batch_69cae92b0cd881908e715a10d3252e83 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:58 p.m.