Triple

T2090242
Position Surface form Disambiguated ID Type / Status
Subject Washington Metro Red Line E32650 entity
Predicate interchangeStation P15892 FINISHED
Object Union Station E223 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: [Washington Metro Red Line, interchangeStation, Union Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union Station
Context triple: [Washington Metro Red Line, interchangeStation, Union Station]
  • A. Union Station chosen
    Union Station is a historic Beaux-Arts transportation hub and major intercity rail terminal in Washington, D.C., serving as a gateway to the U.S. capital.
  • B. Union Station
    Union Station is a major historic transportation hub in downtown Dallas that serves as a key rail and transit connection point for the city.
  • 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 Toronto’s primary railway and transit hub, connecting regional and intercity trains with the city’s subway and streetcar network.
  • E. Union Station
    Union Station is a historic train station name commonly used for major passenger rail terminals in several North American cities.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba7443448190a2642769d0b5fb93 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5189bc088190b142dde85cad6676 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.