Triple

T10707011
Position Surface form Disambiguated ID Type / Status
Subject Pori E252433 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Eurajoki E745243 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: Eurajoki | Statement: [Pori, hasNeighbouringMunicipality, Eurajoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurajoki
Context triple: [Pori, hasNeighbouringMunicipality, Eurajoki]
  • A. Eurajoki chosen
    Eurajoki is a municipality in western Finland, known for hosting the Olkiluoto nuclear power plant on the coast of the Gulf of Bothnia.
  • B. Kuusjoki
    Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
  • C. Kemijoki
    Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
  • D. Ilmajoki
    Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
  • E. Karijoki
    Karijoki is a small rural municipality in western Finland known for its agricultural landscape and quiet countryside.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddfbed48190810bb3faee473fde completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:12 p.m.