Triple

T4375528
Position Surface form Disambiguated ID Type / Status
Subject GoRaleigh E98996 entity
Predicate publicTransitFor P11822 FINISHED
Object residents of Raleigh 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: residents of Raleigh | Statement: [GoRaleigh, publicTransitFor, residents of Raleigh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicTransitFor
Context triple: [GoRaleigh, publicTransitFor, residents of Raleigh]
  • A. publicTransit
    Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
  • B. publicTransitMode
    Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
  • C. transportInterface
    Indicates a relationship where one entity serves as the medium or mechanism through which another entity is transported or conveyed.
  • D. transportFor chosen
    Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
  • E. publicTransitStop
    Indicates that a location serves as a designated stop or station where public transit vehicles (such as buses, trains, or trams) pick up and drop off passengers.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352222df48190bead639e99635faf completed March 12, 2026, 11:54 p.m.
PD Predicate disambiguation batch_69b34f557fe8819085032bf7f0cea5dc completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:18 p.m.