Triple

T17011576
Position Surface form Disambiguated ID Type / Status
Subject Matinkylä station E412712 entity
Predicate connectsTo P845 FINISHED
Object Finnoo station NE ONNED1

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: Finnoo station | Statement: [Matinkylä station, connectsTo, Finnoo station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finnoo station
Context triple: [Matinkylä station, connectsTo, Finnoo station]
  • A. Lesja Station
    Lesja Station is a rural railway stop in Norway serving the village of Lesja and connecting the area to the wider national rail network.
  • B. Sörnäinen station
    Sörnäinen station is an underground metro station in Helsinki, Finland, serving the densely populated Sörnäinen and Kallio districts on the city’s metro network.
  • C. Syosset station
    Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
  • D. Myllypuro station
    Myllypuro station is a Helsinki Metro station serving the Myllypuro district in eastern Helsinki, Finland.
  • E. Kivenlahti station chosen
    Kivenlahti station is a western endpoint of the Helsinki Metro system serving the Kivenlahti district in Espoo, Finland.
  • 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_6a01954069e0819087fab0a782a83f39 finalizing May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:33 a.m.