Triple

T2103887
Position Surface form Disambiguated ID Type / Status
Subject Washington Metro Green Line E37149 entity
Predicate hasStation P35 FINISHED
Object Archives station E71535 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: Archives station | Statement: [Washington Metro Green Line, hasStation, Archives station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archives station
Context triple: [Washington Metro Green Line, hasStation, Archives station]
  • A. Archives station chosen
    Archives station is an underground Washington Metro stop in downtown Washington, D.C., serving the Green and Yellow Lines near the National Archives and several major museums.
  • B. NS Stations
    NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
  • C. National Library station
    National Library station is a major interchange stop on the Beijing Subway serving the area around China's National Library in the Haidian District.
  • D. Symphony station
    Symphony station is an underground light rail stop on Boston’s MBTA Green Line, serving the Symphony Hall area in the Fenway–Kenmore neighborhood.
  • E. Media station
    Media station is a SEPTA commuter rail station in Media, Pennsylvania, serving the Media/Wawa Line in the Philadelphia metropolitan area.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabf7cdc81909636dff34badc1c5 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3069f78c819092a6d9d903e4df13 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:43 p.m.