Triple

T23158705
Position Surface form Disambiguated ID Type / Status
Subject BART Yellow Line E578519 entity
Predicate hasStation P35 FINISHED
Object MacArthur station 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: MacArthur station | Statement: [BART Yellow Line, hasStation, MacArthur station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MacArthur station
Context triple: [BART Yellow Line, hasStation, MacArthur station]
  • A. MacArthur station chosen
    MacArthur station is a major Bay Area Rapid Transit (BART) hub in Oakland, California, serving as a key transfer point between multiple lines in the system.
  • B. MacArthur Square station
    MacArthur Square station is a light rail transit station in downtown Norfolk, Virginia, serving the city's Tide light rail system and nearby attractions such as MacArthur Center.
  • C. Formosa Boulevard Station
    Formosa Boulevard Station is a major Kaohsiung MRT hub in Taiwan, renowned for its striking “Dome of Light” public art installation.
  • D. Midway station
    Midway station is a Chicago Transit Authority rapid transit stop on the Orange Line that serves Chicago Midway International Airport.
  • E. Bayside Station
    Bayside Station is a monorail stop on Tokyo Disney Resort’s Disney Resort Line serving nearby hotels and resort facilities.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efeddd48190b6d03d2146583dcc completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.