Triple

T20138458
Position Surface form Disambiguated ID Type / Status
Subject Viimsi Open Air Museum E491093 entity
Predicate locatedIn P40 FINISHED
Object Viimsi NE NERFINISHED

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: Viimsi | Statement: [Viimsi Open Air Museum, locatedIn, Viimsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viimsi
Context triple: [Viimsi Open Air Museum, locatedIn, Viimsi]
  • A. Viimsi chosen
    Viimsi is a rapidly developing suburban municipality in northern Estonia, located just northeast of the capital city Tallinn.
  • B. Viikki
    Viikki is a district in Helsinki, Finland, known for its university campus, research facilities, and extensive green and nature conservation areas.
  • C. Summajärvi
    Summajärvi is a lake on the Karelian Isthmus in present-day Russia, historically associated with the nearby village of Summa and the Winter War battles fought in the area.
  • D. Viiala
    Viiala was a former municipality in southern Finland that later became part of the town of Akaa.
  • E. Petäjävesi
    Petäjävesi is a municipality in Central Finland known for its rural landscapes and the UNESCO-listed Petäjävesi Old Church, a notable example of traditional Nordic wooden architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667698a188190869c18b925dba2ed completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.