Triple

T1829960
Position Surface form Disambiguated ID Type / Status
Subject Turku and Pori Province E40738 entity
Predicate containsCity P294 FINISHED
Object Uusikaupunki E233031 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: Uusikaupunki | Statement: [Turku and Pori Province, containsCity, Uusikaupunki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uusikaupunki
Context triple: [Turku and Pori Province, containsCity, Uusikaupunki]
  • A. Uusikaupunki chosen
    Uusikaupunki is a coastal town and municipality in southwestern Finland known for its maritime heritage and automotive industry.
  • B. Tampere
    Tampere is a major industrial and cultural city in southern Finland, historically significant as a key battleground in the Finnish Civil War.
  • 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. Oulu
    Oulu is a major city in northern Finland known for its technology industry, university, and position near the Gulf of Bothnia.
  • E. 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.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0144cc08190abd1a6cf44e64daf completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8929b30c8190b21f16bcb6225406 completed March 9, 2026, 8:47 a.m.
Created at: March 4, 2026, 7:32 p.m.