Triple

T15574272
Position Surface form Disambiguated ID Type / Status
Subject Muonio E374327 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Muonio (village) E374327 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: Muonio (village) | Statement: [Muonio, hasMunicipalSeat, Muonio (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muonio (village)
Context triple: [Muonio, hasMunicipalSeat, Muonio (village)]
  • A. Myrskylä village
    Myrskylä village is a small rural settlement in eastern Uusimaa, Finland, serving as the administrative and service center of the surrounding Myrskylä municipality.
  • B. Muonio chosen
    Muonio is a small municipality in Finnish Lapland known for its Arctic landscapes, outdoor tourism, and proximity to the Swedish border.
  • C. Sukeva village
    Sukeva village is a small settlement in Finland known primarily for housing the Sukevan vankila prison.
  • D. Muko
    Muko is a small city in Japan’s Kyoto Prefecture, known for its residential character and proximity to Kyoto City.
  • E. Kumistavi village
    Kumistavi village is a small settlement in western Georgia best known as the gateway to the popular tourist attraction Prometheus Cave.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4767e48190a180062688cdc245 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.