Triple

T2063526
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (MBTA) E45844 entity
Predicate station P726 FINISHED
Object Maverick E136226 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: Maverick | Statement: [Blue Line (MBTA), station, Maverick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maverick
Context triple: [Blue Line (MBTA), station, Maverick]
  • A. Maverick chosen
    Maverick is an MBTA subway station on Boston’s Blue Line serving the East Boston neighborhood.
  • B. Maverick
    Maverick is a classic American Western comedy television series that aired in the late 1950s, following the adventures of charming, poker-playing gambler Bret Maverick and his relatives.
  • C. Holden
    Holden is a small town in central Utah, United States, known for its rural character and proximity to Interstate 15.
  • D. Holden
    Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
  • E. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d3a92081909416c1d087876e99 completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271fa66081908be6c685b9bd8aa4 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:40 p.m.