Triple

T17011504
Position Surface form Disambiguated ID Type / Status
Subject M1 line E412710 entity
Predicate hasStation P35 FINISHED
Object Rautatientori station E421563 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: Rautatientori station | Statement: [M1 line, hasStation, Rautatientori station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rautatientori station
Context triple: [M1 line, hasStation, Rautatientori station]
  • A. Rautatientori station chosen
    Rautatientori station is a central underground station in the Helsinki Metro system located beneath Helsinki’s main railway square, serving as a major hub for public transportation in the city.
  • B. Matinkylä station
    Matinkylä station is a metro station in the Espoo district of Matinkylä that serves as a key western endpoint of the Helsinki Metro system.
  • C. Itäkeskus station
    Itäkeskus station is a major eastern Helsinki Metro hub and one of the system’s busiest stations, serving the Itäkeskus commercial and residential area.
  • D. Syosset station
    Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
  • E. Kamppi station
    Kamppi station is a major underground metro and bus terminal hub in central Helsinki, Finland, serving as one of the city’s key public transport interchanges.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47cc17c819087f7bd27582bcbfa completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233311648190b5f8a8e7c209d124 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.