Triple

T2427000
Position Surface form Disambiguated ID Type / Status
Subject Utrecht Centraal E53552 entity
Predicate ownedBy P347 FINISHED
Object NS Stations E28407 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: NS Stations | Statement: [Utrecht Centraal, ownedBy, NS Stations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NS Stations
Context triple: [Utrecht Centraal, ownedBy, NS Stations]
  • A. NS Stations chosen
    NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
  • B. Sol station
    Sol station is a major central railway and metro hub in Madrid, Spain, serving as a key interchange point for Cercanías commuter trains and multiple urban transit lines beneath Puerta del Sol.
  • C. Wawa station
    Wawa station is a commuter rail station in Wawa, Pennsylvania, serving as the terminus of SEPTA's Media/Wawa Line.
  • D. Salaryevo station
    Salaryevo station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
  • E. Once station
    Once station is a major Buenos Aires Underground stop located in the busy Once neighborhood, serving as an important transit hub in the city.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.