Triple

T9629522
Position Surface form Disambiguated ID Type / Status
Subject Boylston E232560 entity
Predicate hasEntranceFrom P1985 FINISHED
Object Boylston Street E22719 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: Boylston Street | Statement: [Boylston, hasEntranceFrom, Boylston Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boylston Street
Context triple: [Boylston, hasEntranceFrom, Boylston Street]
  • A. Boylston Street, Boston chosen
    Boylston Street in Boston is a major downtown thoroughfare best known as the iconic finish-line location of the Boston Marathon.
  • B. Brattle Street
    Brattle Street is a historic thoroughfare in Cambridge, Massachusetts, known for its colonial-era houses, cultural landmarks, and proximity to Harvard University.
  • C. Harvard Street
    Harvard Street is a major thoroughfare in Brookline, Massachusetts, lined with shops, restaurants, and residential buildings and serving as a key local commercial corridor.
  • D. Winthrop Street
    Winthrop Street is a New York City Subway station in Brooklyn served by the 2 and 5 trains.
  • E. Thayer Street
    Thayer Street is a popular commercial and cultural hub in Providence, Rhode Island, known for its shops, restaurants, and proximity to Brown University.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b00162481908f396f6b6e470d6c completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17987e4008190a8d43641072a1c86 completed April 4, 2026, 8:50 p.m.
Created at: March 30, 2026, 8:10 p.m.