Triple

T11498368
Position Surface form Disambiguated ID Type / Status
Subject Næstved E272601 entity
Predicate hasTwinTown P919 FINISHED
Object Kotka E285670 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: Kotka | Statement: [Næstved, hasTwinTown, Kotka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotka
Context triple: [Næstved, hasTwinTown, Kotka]
  • A. Kotka chosen
    Kotka is a coastal city in southeastern Finland on the Gulf of Finland, known as an important port and maritime center.
  • B. Kajaani
    Kajaani is a small city in central Finland known for its historic castle ruins and role as a regional cultural and economic center in the Kainuu region.
  • C. Kuokkala
    Kuokkala is a former Finnish locality on the Karelian Isthmus, now known as Repino in Saint Petersburg, Russia.
  • D. Kuokkala
    Kuokkala is a residential district of the city of Jyväskylä in central Finland, known for its lakeside location and distinctive bridge connection to the city center.
  • E. Janakkala
    Janakkala is a municipality in southern Finland known for its rural landscapes and historical churches, located within the Kanta-Häme 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de27db081909ccdb4ab0ef75bdb completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0cf61108190a15ab76454fc0d75 completed May 3, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:36 p.m.