Triple

T17011511
Position Surface form Disambiguated ID Type / Status
Subject M1 line E412710 entity
Predicate hasStation P35 FINISHED
Object Myllypuro station
Myllypuro station is a Helsinki Metro station serving the Myllypuro district in eastern Helsinki, Finland.
E1255077 NE FINISHED

How this triple was built (4 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: Myllypuro station | Statement: [M1 line, hasStation, Myllypuro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myllypuro station
Context triple: [M1 line, hasStation, Myllypuro station]
  • A. Mellunmäki station
    Mellunmäki station is an eastern Helsinki Metro station in the Mellunmäki district, notable for being one of the metro system’s outermost endpoints.
  • B. Kivenlahti station
    Kivenlahti station is a western endpoint of the Helsinki Metro system serving the Kivenlahti district in Espoo, Finland.
  • C. Ruoholahti station
    Ruoholahti station is an underground Helsinki Metro station serving the Ruoholahti district as a key western terminus and transport hub in the city’s metro network.
  • D. 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.
  • E. Santolan station
    Santolan station is an elevated terminal station of Manila's LRT Line 2 serving commuters in the eastern part of Metro Manila, Philippines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Myllypuro station
Triple: [M1 line, hasStation, Myllypuro station]
Generated description
Myllypuro station is a Helsinki Metro station serving the Myllypuro district in eastern Helsinki, Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Myllypuro station
Target entity description: Myllypuro station is a Helsinki Metro station serving the Myllypuro district in eastern Helsinki, Finland.
  • A. Mellunmäki station
    Mellunmäki station is an eastern Helsinki Metro station in the Mellunmäki district, notable for being one of the metro system’s outermost endpoints.
  • B. Kivenlahti station
    Kivenlahti station is a western endpoint of the Helsinki Metro system serving the Kivenlahti district in Espoo, Finland.
  • C. Ruoholahti station
    Ruoholahti station is an underground Helsinki Metro station serving the Ruoholahti district as a key western terminus and transport hub in the city’s metro network.
  • D. 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.
  • E. Santolan station
    Santolan station is an elevated terminal station of Manila's LRT Line 2 serving commuters in the eastern part of Metro Manila, Philippines.
  • F. None of above. chosen

Provenance (5 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_6a015fb99b348190a6db655cd8aee799 completed May 11, 2026, 4:48 a.m.
NEDg Description generation batch_6a01603789408190a1c576540d6071b8 completed May 11, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_6a016094d2688190acc0d599136e29a2 completed May 11, 2026, 4:52 a.m.
Created at: April 10, 2026, 5:33 a.m.