Triple

T10115906
Position Surface form Disambiguated ID Type / Status
Subject Waterfront station (Green Line, Washington Metro) E218355 entity
Predicate isSubwayStation P28508 FINISHED
Object yes LITERAL 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: yes | Statement: [Waterfront station (Green Line, Washington Metro), isSubwayStation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSubwayStation
Context triple: [Waterfront station (Green Line, Washington Metro), isSubwayStation, yes]
  • A. subwayStation chosen
    Indicates that one entity is a subway station associated with, located in, or serving the other entity.
  • B. hasSubwayStationEntrance
    Indicates that one entity serves as an entrance or access point to a subway station associated with another entity.
  • C. isPublicTransportStation
    Indicates that a location functions as a station or stop used by public transportation services such as buses, trains, trams, or subways.
  • D. hasSubwayLineAboveOrBelow
    Indicates that one subway line is physically located above or below another subway line, such as on different levels of a transit system.
  • E. isSuburbanStationOf
    Indicates that a station is located in a suburban area and functionally serves as a subsidiary or outlying station of a main or central station.
  • F. None of above.

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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd161831c81908bb3c77caa7c3ce1 completed April 2, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69cd4b9ed7e48190aa132ef8a69b49f9 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:04 p.m.