Triple

T1014373
Position Surface form Disambiguated ID Type / Status
Subject Haninge Municipality E21897 entity
Predicate locatedIn P40 FINISHED
Object eastern Sweden E103986 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: eastern Sweden | Statement: [Haninge Municipality, locatedIn, eastern Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eastern Sweden
Context triple: [Haninge Municipality, locatedIn, eastern Sweden]
  • A. eastern Sweden chosen
    Eastern Sweden is a populous and economically significant region of Sweden that includes the capital city of Stockholm and its surrounding areas.
  • B. northern Sweden
    Northern Sweden is a sparsely populated, subarctic region known for its vast forests, mountains, and traditional Sámi culture, including reindeer herding and indigenous languages.
  • C. Uppland
    Uppland is a historical province in east-central Sweden that includes parts of the greater Stockholm area and key infrastructure such as Stockholm Arlanda Airport.
  • D. Southwest Finland
    Southwest Finland is a coastal region of Finland known for its historic towns, archipelago landscapes, and the former capital city of Turku.
  • E. Ostrobothnia
    Ostrobothnia is a coastal region in western Finland known for its strong Swedish-speaking population, flat landscapes, and historic maritime and agricultural traditions.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7be907c8190b5c6ea89257755a7 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3baf80348190b6909cbd1fd40cb4 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.