Triple

T16914407
Position Surface form Disambiguated ID Type / Status
Subject HSL E410284 entity
Predicate operatesIn P82 FINISHED
Object Uusimaa region E41667 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: Uusimaa region | Statement: [HSL, operatesIn, Uusimaa region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uusimaa region
Context triple: [HSL, operatesIn, Uusimaa region]
  • A. Uusimaa chosen
    Uusimaa is a coastal region in southern Finland that includes the capital Helsinki and is known for its significant Swedish-speaking population and economic importance.
  • B. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • C. Turku region
    The Turku region is a southwestern coastal area of Finland centered on the city of Turku, known as a major historical, cultural, and economic hub with important transport connections.
  • D. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • E. Hämeenlinna region
    The Hämeenlinna region is an area in southern Finland centered on the historic city of Hämeenlinna, known for its cultural institutions, medieval castle, and lakeside landscapes.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7be679c8190b9d0b0b9cfe185d3 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.