Triple

T10735043
Position Surface form Disambiguated ID Type / Status
Subject RVL E253173 entity
Predicate hasStation P35 FINISHED
Object Union Station unclear NED1 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: [RVL, hasStation, Union Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union Station
Context triple: [RVL, hasStation, 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 train station and transportation hub in Worcester, Massachusetts, known for its grand Beaux-Arts architecture and role as a key gateway to the city.
  • C. Union Station
    Union Station is Toronto’s primary railway and transit hub, connecting regional and intercity trains with the city’s subway and streetcar network.
  • 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. chosen

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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71021cccc8190ba2d3bbd7d50e2a7 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22cc4edc8190a7ab45e57ed94c47 completed April 14, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:14 p.m.