Triple

T20094125
Position Surface form Disambiguated ID Type / Status
Subject Karlskoga E496352 entity
Predicate locatedIn P40 FINISHED
Object Värmland region of Sweden E350015 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: Värmland region of Sweden | Statement: [Karlskoga, locatedIn, Värmland region of Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Värmland region of Sweden
Context triple: [Karlskoga, locatedIn, Värmland region of Sweden]
  • A. Jämtland region
    Jämtland region is a sparsely populated county in central Sweden known for its lakes, forests, mountains, and outdoor recreation tourism.
  • B. Scania region
    The Scania region is Sweden’s southernmost province, known for its fertile farmland, historic towns, and strategic location bridging Scandinavia and continental Europe.
  • C. Värmland County chosen
    Värmland County is a region in west-central Sweden known for its vast forests, lakes, and cultural heritage, with Karlstad as its administrative center.
  • D. Botkyrka region
    The Botkyrka region is a municipality in Stockholm County, Sweden, known for its cultural diversity and historical association with the medieval saint Botvid.
  • E. Ångermanland
    Ångermanland is a historical province in northern Sweden known for its deep river valleys, forested landscapes, and coastal areas along the Gulf of Bothnia.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666a7a94819080ebabfba9762f97 completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082709bec8819085418d3d93108d81 completed May 16, 2026, 8:12 a.m.
Created at: April 11, 2026, 11:23 p.m.