Triple

T5655382
Position Surface form Disambiguated ID Type / Status
Subject Hynes Convention Center E124604 entity
Predicate near P350 FINISHED
Object Back Bay Station E104961 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: Back Bay Station | Statement: [Hynes Convention Center, near, Back Bay Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Back Bay Station
Context triple: [Hynes Convention Center, near, Back Bay Station]
  • A. Back Bay station chosen
    Back Bay station is a major transportation hub in Boston, Massachusetts, serving MBTA commuter rail, Amtrak, and subway lines in the Back Bay neighborhood.
  • B. North Station
    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. Airport North Station
    Airport North Station is a Guangzhou Metro station serving the northern area of Guangzhou Baiyun International Airport.
  • D. 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.
  • E. South Station
    South Station is Boston’s major intercity rail and bus terminal and a key MBTA subway hub in the city’s downtown.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f998688190b18eb6469e8c054f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a255f348190abe3c09fe0b38f45 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:42 p.m.