Triple

T4853022
Position Surface form Disambiguated ID Type / Status
Subject Salem Municipality E108459 entity
Predicate hasRegion P285 FINISHED
Object Svealand E66788 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: Svealand | Statement: [Salem Municipality, hasRegion, Svealand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svealand
Context triple: [Salem Municipality, hasRegion, Svealand]
  • A. Svealand chosen
    Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
  • B. Hälsingland
    Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
  • 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. Geatland
    Geatland is the homeland of the hero Beowulf, depicted in the Old English epic as the territory of the Geats in what is now southern Sweden.
  • E. Bohuslän
    Bohuslän is a coastal province in western Sweden known for its rugged granite shoreline, fishing villages, and archipelago along the Skagerrak.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3b00fc81909bdb95eb9648c907 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ce33db08190b44b5b0c21d2b850 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:26 p.m.