Triple

T3477
Position Surface form Disambiguated ID Type / Status
Subject MBTA Fitchburg Line E65 entity
Predicate serves P98 FINISHED
Object Concord E24568 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: Concord | Statement: [MBTA Fitchburg Line, serves, Concord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concord
Context triple: [MBTA Fitchburg Line, serves, Concord]
  • A. Concord, Massachusetts chosen
    Concord, Massachusetts is a historic New England town best known as the site of the opening battles of the American Revolutionary War and as a center of 19th-century American literature and transcendentalism.
  • B. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • 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. Needham
    Needham is a suburban town in Norfolk County, Massachusetts, located southwest of downtown Boston and known for its residential character and strong public schools.
  • E. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a2399c646c8190b4977ed56b8835a8 completed Feb. 28, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3c40fb3c88190818cc5c2560b1253 completed March 1, 2026, 4:43 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.