Triple

T21129006
Position Surface form Disambiguated ID Type / Status
Subject Kemi E520633 entity
Predicate hasAttraction P105 FINISHED
Object Kemi Church NE NERFINISHED

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: Kemi Church | Statement: [Kemi, hasAttraction, Kemi Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemi Church
Context triple: [Kemi, hasAttraction, Kemi Church]
  • A. Kemi Church chosen
    Kemi Church is a notable church building in the town of Kemi in northern Finland, serving as a local place of worship and architectural landmark.
  • B. Kiruna Church
    Kiruna Church is a prominent wooden church in Kiruna, Sweden, renowned for its distinctive national romantic architecture and status as one of the country’s largest wooden buildings.
  • C. Tyrvää Church
    Tyrvää Church is a historic lakeside stone church in Sastamala, Finland, renowned for its traditional wooden interiors and reconstructed paintings after a devastating arson fire.
  • D. Ikornnes Church
    Ikornnes Church is a parish church of the Church of Norway located in the village of Ikornnes in Sykkylven Municipality, Møre og Romsdal county.
  • E. Loviisa Church
    Loviisa Church is a prominent 19th-century Lutheran church and architectural landmark in the coastal town of Loviisa, Finland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223b4c4c8190b9fffa610588651e completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:56 p.m.