Triple

T9711075
Position Surface form Disambiguated ID Type / Status
Subject Paimio Sanatorium E235023 entity
Predicate locatedIn P40 FINISHED
Object Paimio E235794 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: Paimio | Statement: [Paimio Sanatorium, locatedIn, Paimio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paimio
Context triple: [Paimio Sanatorium, locatedIn, Paimio]
  • A. Paimio chosen
    Paimio is a small Finnish town best known for the modernist Paimio Sanatorium designed by architect Alvar Aalto.
  • B. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • C. Pirkkala
    Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
  • D. Sotkamo
    Sotkamo is a municipality in eastern Finland known for its mining industry, outdoor recreation, and the popular Vuokatti ski and sports resort area.
  • E. Riihimäki
    Riihimäki is a Finnish town known as a regional railway hub and industrial center located north of Helsinki.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0591208190aa57cc9e2aebafb7 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69dff74d59f88190bbd975521b16ae49 completed April 15, 2026, 8:38 p.m.
Created at: March 30, 2026, 8:19 p.m.