Triple

T1829924
Position Surface form Disambiguated ID Type / Status
Subject Southwest Finland E40737 entity
Predicate containsMunicipality P852 FINISHED
Object Askainen E40736 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: Askainen | Statement: [Southwest Finland, containsMunicipality, Askainen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Askainen
Context triple: [Southwest Finland, containsMunicipality, Askainen]
  • A. Askainen chosen
    Askainen is a village and former municipality in southwestern Finland known for its historic Loukko Manor and coastal rural landscape.
  • B. Antti
    Antti is a Finnish given name, commonly used as a variant of the name Anton or Anthony.
  • C. Askim
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • D. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • E. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0144cc08190abd1a6cf44e64daf completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6d49988190b8cb1773609a379b completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.