Triple

T15879411
Position Surface form Disambiguated ID Type / Status
Subject Lempäälä E385034 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Akaa E207225 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: Akaa | Statement: [Lempäälä, hasNeighboringMunicipality, Akaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akaa
Context triple: [Lempäälä, hasNeighboringMunicipality, Akaa]
  • A. Akaa chosen
    Akaa is a small town and municipality in the Pirkanmaa region of southern Finland.
  • B. Aka-Kora
    Aka-Kora is an extinct Great Andamanese language once spoken by the Kora people of North Andaman Island in India.
  • C. Kuwahi
    Kuwahi is the Cherokee name for Clingmans Dome, the highest peak in Great Smoky Mountains National Park and one of the tallest mountains in the eastern United States.
  • D. Koga
    Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
  • E. Syukuro
    Syukuro is the given name of Syukuro Manabe, a pioneering climatologist known for his foundational work on climate modeling and global warming.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb043b6d48190bf9a36a3e00403c0 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.