Triple

T9064300
Position Surface form Disambiguated ID Type / Status
Subject Pöytyä E217204 entity
Predicate partOf P40 FINISHED
Object Southwest Finland Region E40737 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: Southwest Finland Region | Statement: [Pöytyä, partOf, Southwest Finland Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southwest Finland Region
Context triple: [Pöytyä, partOf, Southwest Finland Region]
  • A. Southwest Finland chosen
    Southwest Finland is a coastal region of Finland known for its historic towns, archipelago landscapes, and the former capital city of Turku.
  • B. 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.
  • C. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • D. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • E. Central Finland
    Central Finland is a region in the heart of Finland known for its lakes, forests, and the city of Jyväskylä as its main urban and educational 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c79bc53481908552af9ebd582edf completed April 18, 2026, 6:04 p.m.
Created at: March 30, 2026, 7:11 p.m.