Triple

T13919913
Position Surface form Disambiguated ID Type / Status
Subject North Billerica station E334713 entity
Predicate connectsTo P845 FINISHED
Object Boston North Station E2878 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: Boston North Station | Statement: [North Billerica station, connectsTo, Boston North Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston North Station
Context triple: [North Billerica station, connectsTo, Boston North Station]
  • A. MBTA North Station
    MBTA North Station is a major Boston transportation hub that serves as a key terminal for MBTA subway and commuter rail lines as well as Amtrak services.
  • B. North Station chosen
    North Station is a major transportation hub in Boston, Massachusetts, serving as a key commuter rail, subway, and intercity bus terminal integrated with the TD Garden arena.
  • C. North Station
    North Station is a passenger stop on Detroit Metropolitan Airport’s McNamara Terminal ExpressTram, serving travelers moving along the terminal concourse.
  • D. Airport North Station
    Airport North Station is a Guangzhou Metro station serving the northern area of Guangzhou Baiyun International Airport.
  • E. Airport North Station
    Airport North Station is a metro station in Shenzhen that serves the Shenzhen Bao’an International Airport area, providing urban rail access for air travelers and airport staff.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c45ba4819096233570d8d4afec completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:16 p.m.