Triple

T9511238
Position Surface form Disambiguated ID Type / Status
Subject Silver Line Way E229399 entity
Predicate servesArea P82 FINISHED
Object South Boston Waterfront E164928 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: South Boston Waterfront | Statement: [Silver Line Way, servesArea, South Boston Waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Boston Waterfront
Context triple: [Silver Line Way, servesArea, South Boston Waterfront]
  • A. South Boston
    South Boston is an independent town in southern Virginia known for its historic downtown, former tobacco warehouses, and proximity to the Dan River.
  • B. South Boston chosen
    South Boston is a densely populated waterfront neighborhood of Boston, Massachusetts, known for its strong Irish-American heritage and rapidly gentrifying urban landscape.
  • C. Boston waterfront
    The Boston waterfront is a revitalized coastal district featuring historic harbor sites, cultural attractions, parks, and dining along Boston Harbor.
  • D. Downtown Boston
    Downtown Boston is the city’s historic and commercial core, known for its dense cluster of landmarks, offices, and shopping areas.
  • E. Back Bay
    Back Bay is a historic and upscale Boston neighborhood known for its Victorian brownstone homes, shopping streets like Newbury Street, and proximity to major cultural and green spaces.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9868616c8190856f89fecfa1a02e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c1092bc8190917d71e2b6f62c25 completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 7:58 p.m.