Triple

T2572293
Position Surface form Disambiguated ID Type / Status
Subject UP Express at Union Station E57691 entity
Predicate locatedIn P40 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: [UP Express at Union Station, locatedIn, Union Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union Station
Context triple: [UP Express at Union Station, locatedIn, Union Station]
  • A. Union Station
    Union Station is the main railway station and a historic transportation hub in downtown Los Angeles, renowned for its Mission Revival and Art Deco architecture.
  • B. Union Station
    Union Station is a historic former railroad terminal in St. Louis that has been transformed into a mixed-use complex featuring attractions, dining, and entertainment.
  • C. 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.
  • D. Union Station
    Union Station is a historic train station name commonly used for major passenger rail terminals in several North American cities.
  • E. 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.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3853c848190970e8a2da16d726d completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83aefb00819095a6ab26f9bb61d9 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:48 p.m.