Triple

T6077813
Position Surface form Disambiguated ID Type / Status
Subject Boston waterfront E135445 entity
Predicate contains P35 FINISHED
Object North End waterfront E260152 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: North End waterfront | Statement: [Boston waterfront, contains, North End waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North End waterfront
Context triple: [Boston waterfront, contains, North End waterfront]
  • A. North End waterfront chosen
    The North End waterfront is a scenic Boston harbor area known for its promenade, historic sites, and views of the city skyline and harbor.
  • B. Chelsea waterfront
    Chelsea waterfront is a redeveloped riverside district in west London featuring modern residential complexes, leisure facilities, and scenic views along the Thames.
  • C. Newburgh Waterfront
    Newburgh Waterfront is a revitalized Hudson River shoreline district in Newburgh, New York, known for its restaurants, marinas, and scenic views of the river and surrounding highlands.
  • D. North End
    North End is a historic waterfront neighborhood in Boston known for its Italian-American culture, narrow streets, and notable Revolutionary-era sites.
  • E. North End
    North End is a historic residential and industrial neighborhood in the city of Saint John, New Brunswick, known for its working-class character and waterfront location.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057706d9881909b52093282593886 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d48f0508190991453dc17c53b89 completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.