Triple

T12429946
Position Surface form Disambiguated ID Type / Status
Subject Matinkylä E296999 entity
Predicate hasPart P35 FINISHED
Object Matinkylä metro station E412712 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: Matinkylä metro station | Statement: [Matinkylä, hasPart, Matinkylä metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matinkylä metro station
Context triple: [Matinkylä, hasPart, Matinkylä metro station]
  • A. Tapiola metro station
    Tapiola metro station is an underground station on the Helsinki Metro system serving the Tapiola district in Espoo, Finland.
  • B. Lauttasaari metro station
    Lauttasaari metro station is an underground station on the Helsinki Metro serving the Lauttasaari district as part of the city’s western metro extension.
  • C. Aalto University metro station
    Aalto University metro station is an underground station on the Helsinki Metro serving the Otaniemi campus area in Espoo, Finland.
  • D. Matinkylä station chosen
    Matinkylä station is a metro station in the Espoo district of Matinkylä that serves as a key western endpoint of the Helsinki Metro system.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ddc688190bddb242d67fa6e89 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349b075c8190b77cd51bc45be8ef completed May 2, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:55 p.m.