Triple

T21365159
Position Surface form Disambiguated ID Type / Status
Subject MBTA Needham Line E526889 entity
Predicate hasStation P35 FINISHED
Object Ruggles NE NERFINISHED

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: Ruggles | Statement: [MBTA Needham Line, hasStation, Ruggles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruggles
Context triple: [MBTA Needham Line, hasStation, Ruggles]
  • A. Ruggles
    Ruggles is an English-origin surname borne by various notable individuals in fields such as entertainment, politics, and the arts.
  • B. Ruggles chosen
    Ruggles is a major multimodal transit station in Boston, Massachusetts, serving MBTA commuter rail, subway, and bus routes near Northeastern University.
  • C. Peabody
    Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
  • D. Peabody
    Peabody is the middle name of the American ethnologist and linguist J. P. Harrington, known for his extensive documentation of Native American languages and cultures.
  • E. Elm City
    Elm City is a nickname for Waterville, Maine, reflecting its historic abundance of elm trees and tree-lined streets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06e1ba081908a96928a65da5fa2 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:09 p.m.