Triple

T13919899
Position Surface form Disambiguated ID Type / Status
Subject North Billerica station E334713 entity
Predicate railwayLineDirection P34413 FINISHED
Object Lowell NE NERFINISHED

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: Lowell | Statement: [North Billerica station, railwayLineDirection, Lowell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lowell
Context triple: [North Billerica station, railwayLineDirection, Lowell]
  • A. Lowell
    Lowell is a surname most prominently associated with former Major League Baseball third baseman and World Series MVP Mike Lowell.
  • B. Lowell, Massachusetts chosen
    Lowell, Massachusetts is a historic New England city known as a cradle of the American Industrial Revolution and a center of early textile manufacturing.
  • C. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • D. Medford
    Medford is a city in southern Oregon that serves as a regional commercial and transportation hub in the Rogue Valley.
  • E. Medford
    Medford is a hamlet and residential community located within the Town of Brookhaven in Suffolk County on Long Island, New York.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 9, 2026, 10:16 p.m.