Triple

T5734989
Position Surface form Disambiguated ID Type / Status
Subject Vårby E126479 entity
Predicate region P40 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: [Vårby, region, Svealand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svealand
Context triple: [Vårby, region, 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02536706c8190a69665b75c8a38e9 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e05a7e08190a79fb43aefdbea6b completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:47 p.m.