Triple

T38427
Position Surface form Disambiguated ID Type / Status
Subject MBTA Red Line E761 entity
Predicate servesCity P82 FINISHED
Object Quincy E12073 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: Quincy | Statement: [MBTA Red Line, servesCity, Quincy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quincy
Context triple: [MBTA Red Line, servesCity, Quincy]
  • A. Quincy chosen
    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.
  • B. 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.
  • C. 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.
  • D. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • E. Lowell, Massachusetts
    Lowell, Massachusetts is a historic New England city known as a cradle of the American Industrial Revolution and a center of early textile manufacturing.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acd14b48190b80d4329621583df completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a31c8e1e6481909ebf80444bd01b88 completed Feb. 28, 2026, 4:49 p.m.
Created at: Feb. 28, 2026, 1:46 a.m.