Triple

T15409484
Position Surface form Disambiguated ID Type / Status
Subject Essex, Vermont E368545 entity
Predicate isServedBy P1293 FINISHED
Object Green Mountain Transit E365724 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: Green Mountain Transit | Statement: [Essex, Vermont, isServedBy, Green Mountain Transit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Mountain Transit
Context triple: [Essex, Vermont, isServedBy, Green Mountain Transit]
  • A. Green Mountain Transit chosen
    Green Mountain Transit is the primary public bus system serving Burlington, Vermont and the surrounding region.
  • B. Woodstock Transit
    Woodstock Transit is the municipal public transportation agency serving the city of Woodstock in Ontario, Canada.
  • C. Greenway Public Transportation
    Greenway Public Transportation is a regional public transit agency providing bus and demand-response services in and around Newton, North Carolina.
  • D. Arrowhead Transit
    Arrowhead Transit is a regional public transportation service operating in and around Hibbing, Minnesota, providing bus and demand-response rides for local residents.
  • E. Maybrook Trailway
    Maybrook Trailway is a multi-use recreational rail trail in New York’s Hudson Valley, popular for walking, running, and cycling along a scenic former railroad corridor.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135d65988190b35392bdf1e45985 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.