Triple

T11216699
Position Surface form Disambiguated ID Type / Status
Subject Hämeenlinna Art Museum E265455 entity
Predicate regionServed P82 FINISHED
Object Kanta-Häme E220011 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: Kanta-Häme | Statement: [Hämeenlinna Art Museum, regionServed, Kanta-Häme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanta-Häme
Context triple: [Hämeenlinna Art Museum, regionServed, Kanta-Häme]
  • A. Kanta-Häme chosen
    Kanta-Häme is a region in southern Finland known for its historic towns, lakes, and forests, with Hämeenlinna as its central city.
  • B. Kymenlaakso
    Kymenlaakso is a region in southeastern Finland known for its industrial centers, coastal location along the Gulf of Finland, and historically significant role as a settlement area for evacuees from Karelia.
  • C. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • D. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • E. Päijät-Häme
    Päijät-Häme is a region in southern Finland known for its lakes, forests, and the city of Lahti as its main urban center.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b196bc8190a643f2b534497476 completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:30 p.m.