Triple

T11240331
Position Surface form Disambiguated ID Type / Status
Subject Korsholm E266054 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Isokyrö E205953 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: Isokyrö | Statement: [Korsholm, hasNeighbouringMunicipality, Isokyrö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isokyrö
Context triple: [Korsholm, hasNeighbouringMunicipality, Isokyrö]
  • A. Isokyrö chosen
    Isokyrö is a rural municipality in western Finland known for its historic churches, agricultural landscape, and traditional Ostrobothnian culture.
  • B. Kylmäkoski
    Kylmäkoski is a former municipality in the Pirkanmaa region of Finland, now part of the town of Akaa.
  • C. Raisio
    Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
  • D. Kauhava
    Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
  • E. Tuompo
    Tuompo is a Finnish surname associated with individuals such as Wiljo Tuompo.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad79e4788190af39186f37600a64 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.