Triple

T5414157
Position Surface form Disambiguated ID Type / Status
Subject Ward Nicholas Boylston E121086 entity
Predicate familyName P18 FINISHED
Object Boylston E519717 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 | Statement: [Ward Nicholas Boylston, familyName, Boylston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boylston
Context triple: [Ward Nicholas Boylston, familyName, Boylston]
  • A. Boylston
    Boylston is an MBTA Green Line subway station located near Boston Common in downtown Boston, Massachusetts.
  • B. Boylston, Massachusetts chosen
    Boylston, Massachusetts is a small New England town in Worcester County known for its rural character, Wachusett Reservoir, and historic village center.
  • C. Boston Common
    Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
  • D. Allston, Massachusetts
    Allston, Massachusetts is a vibrant Boston neighborhood known for its large student population, diverse immigrant communities, and growing innovation and arts scene.
  • E. Brookline
    Brookline is an affluent, historic suburban town directly bordering Boston, known for its tree-lined streets, excellent public schools, and vibrant residential neighborhoods.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87bcace08190932fe85e4b4aeffc completed March 20, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11331275c8190950247127d8e33c6 completed March 23, 2026, 10:17 a.m.
Created at: March 20, 2026, 2:05 p.m.