Triple

T9711148
Position Surface form Disambiguated ID Type / Status
Subject Viipuri Library E235024 entity
Predicate originalClient P9839 FINISHED
Object City of Viipuri E174484 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: City of Viipuri | Statement: [Viipuri Library, originalClient, City of Viipuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Viipuri
Context triple: [Viipuri Library, originalClient, City of Viipuri]
  • A. 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.
  • B. Viipuri chosen
    Viipuri is the Finnish name for Vyborg, a historically significant city and former Finnish cultural center now located in Russia near the Finnish border.
  • C. Kempele
    Kempele is a rapidly growing municipality in Northern Ostrobothnia, Finland, located just south of the city of Oulu.
  • D. Hämeenlinna
    Hämeenlinna is a historic city in southern Finland known for its medieval castle, cultural heritage, and role as a regional administrative and educational center.
  • E. Paimio
    Paimio is a small Finnish town best known for the modernist Paimio Sanatorium designed by architect Alvar Aalto.
  • 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_69d1af9d6f148190b157cc7a0f91b387 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:19 p.m.