Triple

T8592005
Position Surface form Disambiguated ID Type / Status
Subject Merimasku E203449 entity
Predicate locatedIn P40 FINISHED
Object Naantali E229113 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: Naantali | Statement: [Merimasku, locatedIn, Naantali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naantali
Context triple: [Merimasku, locatedIn, Naantali]
  • A. Naantali chosen
    Naantali is a coastal town in southwestern Finland known for its historic wooden old town, spa traditions, and the popular Moomin World theme park.
  • 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. Porvoo
    Porvoo is a historic coastal city in southern Finland known for its well-preserved wooden Old Town and medieval cathedral.
  • D. Pori
    Pori is a coastal city in western Finland known for its industrial heritage, port, and annual Pori Jazz Festival.
  • E. Pirkkala
    Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc466747b88190b752f78f361140cb completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69d016e84df4819092b442216a5f6c9e completed April 3, 2026, 7:37 p.m.
Created at: March 30, 2026, 6:23 p.m.