Triple

T1337852
Position Surface form Disambiguated ID Type / Status
Subject Boston park system E28794 entity
Predicate hasPart P35 FINISHED
Object Boston Common E102061 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: Boston Common | Statement: [Boston park system, hasPart, Boston Common]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston Common
Context triple: [Boston park system, hasPart, Boston Common]
  • A. Boston Common chosen
    Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
  • B. Boylston
    Boylston is an MBTA Green Line subway station located near Boston Common in downtown Boston, Massachusetts.
  • C. Revere, Massachusetts
    Revere, Massachusetts is a coastal city just north of Boston known for Revere Beach, the oldest public beach in the United States.
  • D. North End, Boston
    North End, Boston is the city's oldest residential neighborhood, famed for its historic sites like the Paul Revere House and its vibrant Italian-American culture, restaurants, and festivals.
  • E. South End, Boston
    South End, Boston is a historic, densely populated neighborhood known for its Victorian brownstone architecture, diverse community, and vibrant arts and dining scene just south of downtown Boston.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2115d388190b031ae2de1296f8a completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ec74dec8190b26e46c8f472e322 completed March 9, 2026, 8:03 a.m.
Created at: March 1, 2026, 7:55 p.m.