Triple

T21129275
Position Surface form Disambiguated ID Type / Status
Subject Helsinki–Lahti line E520639 entity
Predicate hasStation P35 FINISHED
Object Tikkurila NE NERFINISHED

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: Tikkurila | Statement: [Helsinki–Lahti line, hasStation, Tikkurila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tikkurila
Context triple: [Helsinki–Lahti line, hasStation, Tikkurila]
  • A. Tikkurila chosen
    Tikkurila is a major urban district and administrative center in the city of Vantaa, Finland, known for its transport hub, services, and cultural institutions.
  • B. Iittala
    Iittala is a Finnish design brand renowned for its high-quality glassware and timeless Scandinavian tableware and home objects.
  • C. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • D. Kohler
    Kohler is a German-origin surname borne by various notable individuals, including scholars, politicians, and artists.
  • E. Huskvarna
    Huskvarna is a Swedish town in Jönköping County best known as the historic home of the Husqvarna manufacturing company, famed for firearms, sewing machines, motorcycles, and outdoor power equipment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223b4c4c8190b9fffa610588651e completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:56 p.m.