Triple

T4402907
Position Surface form Disambiguated ID Type / Status
Subject Pernå E93657 entity
Predicate hasNameInSwedish P11737 FINISHED
Object Pernå E93657 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: Pernå | Statement: [Pernå, hasNameInSwedish, Pernå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pernå
Context triple: [Pernå, hasNameInSwedish, Pernå]
  • A. Pernå chosen
    Pernå is a historic former municipality in southern Finland, known as the birthplace of Mikael Agricola, the father of written Finnish.
  • B. Pernik
    Pernik is an industrial city in western Bulgaria, historically known for its coal mining and heavy industry, located southwest of Sofia.
  • C. Perka
    Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • D. Naujaat
    Naujaat is a small Inuit community in Nunavut, Canada, located on the Arctic coast at the north end of Roes Welcome Sound.
  • E. Pedersöre
    Pedersöre is a bilingual (Swedish- and Finnish-speaking) rural municipality in western Finland known for its agriculture and small-town communities.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352d08a0c8190ac6c125df40eca75 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5fc9f508190a31adb0758555dfa completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:28 p.m.