Triple

T36657249
Position Surface form Disambiguated ID Type / Status
Subject Moosic, Pennsylvania E905026 entity
Predicate hasPublicTransportationLinks P3791 FINISHED
Object bus connections to Scranton and Wilkes-Barre 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: bus connections to Scranton and Wilkes-Barre | Statement: [Moosic, Pennsylvania, hasPublicTransportationLinks, bus connections to Scranton and Wilkes-Barre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicTransportationLinks
Context triple: [Moosic, Pennsylvania, hasPublicTransportationLinks, bus connections to Scranton and Wilkes-Barre]
  • A. hasGoodTransportLinks
    Indicates that a place is well connected to other locations by efficient and convenient transport options.
  • B. hasPublicTransportConnection chosen
    Indicates that there is an available public transportation link or service connecting the related entities.
  • C. hasPublicTransitFunction
    Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
  • D. hasPublicTransitMode
    Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
  • E. hasPublicTransitNode
    Indicates that there exists a public transportation stop, station, or node associated with or located at the referenced entity.
  • 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_69f76e6e3b908190970251b30f76ad71 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: May 3, 2026, 4:11 p.m.