Triple

T22721494
Position Surface form Disambiguated ID Type / Status
Subject Q Line E561872 entity
Predicate hasStop P17789 FINISHED
Object Brighton Beach NE NERFINISHED

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: Brighton Beach | Statement: [Q Line, hasStop, Brighton Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brighton Beach
Context triple: [Q Line, hasStop, Brighton Beach]
  • A. Brighton Beach chosen
    Brighton Beach is a neighborhood in the southern part of Brooklyn, New York City, known for its large Russian-speaking community and its location along the Atlantic Ocean waterfront near Coney Island.
  • B. Bayside
    Bayside is a neighborhood in Portland, Maine, known for its mix of residential, commercial, and light industrial areas just west of East Bayside.
  • C. Bayside
    Bayside is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its suburban feel, good schools, and waterfront parks.
  • D. Bayside
    Bayside is a suburban village in Milwaukee and Ozaukee counties in southeastern Wisconsin, known for its residential character along the Lake Michigan shoreline.
  • E. Dutch Kills
    Dutch Kills is a neighborhood in the Long Island City area of Queens, New York City, known for its mix of industrial spaces, residential buildings, and proximity to major transit routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17911a4fc81908a125209aea77e22 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.