Triple

T9201124
Position Surface form Disambiguated ID Type / Status
Subject Gold Line E220839 entity
Predicate servesStation P839 FINISHED
Object Union Station E149870 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: Union Station | Statement: [Gold Line, servesStation, Union Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union Station
Context triple: [Gold Line, servesStation, Union Station]
  • A. Union Station
    Union Station is a historic train station and transportation hub in Worcester, Massachusetts, known for its grand Beaux-Arts architecture and role as a key gateway to the city.
  • B. Union Station chosen
    Union Station is Toronto’s primary railway and transit hub, connecting regional and intercity trains with the city’s subway and streetcar network.
  • C. Union Station
    Union Station is a historic train station name commonly used for major passenger rail terminals in several North American cities.
  • D. Union Station
    Union Station is a major historic train and transportation hub in Seattle, Washington, serving as a landmark of the city's rail and transit network.
  • E. Union Station
    Union Station was the historic central railway terminal in Ottawa, Canada, later repurposed as the Senate of Canada Building.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9429b448190a078e9cdfedd4918 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065dbcf908190a6e36cef879cd31b completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:25 p.m.