Triple

T12566675
Position Surface form Disambiguated ID Type / Status
Subject Greater Helsinki E295495 entity
Predicate contains P35 FINISHED
Object Siuntio E838826 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: Siuntio | Statement: [Greater Helsinki, contains, Siuntio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siuntio
Context triple: [Greater Helsinki, contains, Siuntio]
  • A. Siuntio chosen
    Siuntio is a small municipality in southern Finland known for its rural landscapes, historical manor houses, and proximity to the Helsinki metropolitan area.
  • B. Smakt
    Smakt is a small village in the Dutch province of Limburg, known for its rural character and proximity to the German border.
  • C. Süßen
    Süßen is a small town in the German state of Baden-Württemberg, situated in the Fils Valley and known for its local industry and residential character.
  • D. Sabor
    Sabor is a river in northeastern Portugal that flows through the Trás-os-Montes region before joining the Douro River.
  • E. Sabor
    Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558f87b081909ba179b49bae3913 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:49 p.m.