Triple

T2019044
Position Surface form Disambiguated ID Type / Status
Subject Toruń E44061 entity
Predicate twinnedWith P1072 FINISHED
Object Hämeenlinna E52339 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: Hämeenlinna | Statement: [Toruń, twinnedWith, Hämeenlinna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hämeenlinna
Context triple: [Toruń, twinnedWith, Hämeenlinna]
  • A. Hämeenlinna chosen
    Hämeenlinna is a historic city in southern Finland known for its medieval castle, cultural heritage, and role as a regional administrative and educational center.
  • 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. Lahti
    Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
  • D. Lappeenranta
    Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
  • E. Nurmijärvi
    Nurmijärvi is a municipality in southern Finland known for being one of the largest rural municipalities in the country and part of the Greater Helsinki region.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8cfa5c88190b55bce5db968665b completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2247dfcf88190ac85cc10e5700363 completed March 12, 2026, 2:27 a.m.
Created at: March 4, 2026, 7:38 p.m.