Triple

T12776018
Position Surface form Disambiguated ID Type / Status
Subject Porvoo E305374 entity
Predicate hasPart P35 FINISHED
Object Old Town Porvoo E305374 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: Old Town Porvoo | Statement: [Porvoo, hasPart, Old Town Porvoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Town Porvoo
Context triple: [Porvoo, hasPart, Old Town Porvoo]
  • A. Porvoo chosen
    Porvoo is a historic coastal city in southern Finland known for its well-preserved wooden Old Town and medieval cathedral.
  • B. Naantali
    Naantali is a coastal town in southwestern Finland known for its historic wooden old town, spa traditions, and the popular Moomin World theme park.
  • C. Savonlinna
    Savonlinna is a Finnish lakeside city in the Saimaa lake district, best known for its medieval Olavinlinna Castle and annual international opera festival.
  • D. Paimio
    Paimio is a small Finnish town best known for the modernist Paimio Sanatorium designed by architect Alvar Aalto.
  • E. City of Kauniainen
    The City of Kauniainen is a small, affluent municipality completely surrounded by Espoo in the Helsinki metropolitan area of Finland, known for its high quality of life and strong public services.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df6b3c88190b0bbe70de8ddcbf3 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fee60c81909245d4d70c9338c0 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.