Triple

T7373
Position Surface form Disambiguated ID Type / Status
Subject Waverley station E146 entity
Predicate servesCommunity P82 FINISHED
Object Belmont E13139 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: Belmont | Statement: [Waverley station, servesCommunity, Belmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belmont
Context triple: [Waverley station, servesCommunity, Belmont]
  • A. Belmont chosen
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • B. Burlington
    Burlington is a suburban town in Massachusetts known for its proximity to Boston and its mix of residential neighborhoods, office parks, and retail centers.
  • C. Quincy
    Quincy is a coastal city in eastern Massachusetts known as the "City of Presidents" for being the birthplace of U.S. presidents John Adams and John Quincy Adams.
  • D. 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.
  • E. Lexington
    Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a24659cfe0819088c2e8a61c2274f3 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b8599e2c8190a593f2c00e293f9d completed Feb. 28, 2026, 9:41 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.