Triple

T2063531
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (MBTA) E45844 entity
Predicate station P726 FINISHED
Object Beachmont E149973 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: Beachmont | Statement: [Blue Line (MBTA), station, Beachmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beachmont
Context triple: [Blue Line (MBTA), station, Beachmont]
  • A. Beachmont chosen
    Beachmont is a Massachusetts Bay Transportation Authority rapid transit station on the Blue Line serving the Beachmont neighborhood of Revere, Massachusetts.
  • B. Locust Point
    Locust Point is a historic waterfront neighborhood in Baltimore known for its industrial roots, immigrant history, and views of the Inner Harbor.
  • C. Reynoldston
    Reynoldston is a rural village situated in the heart of the Gower Peninsula in Swansea, Wales, known for its scenic surroundings and traditional community character.
  • D. Ocean Hill
    Ocean Hill is a residential neighborhood in the borough of Brooklyn, New York City, often considered a subsection of Bedford-Stuyvesant and known for its diverse community and urban character.
  • E. Woodhaven
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • 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_69ae58c2cb688190ae3320bbf4e0dfa9 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:40 p.m.