Triple

T15529112
Position Surface form Disambiguated ID Type / Status
Subject Forsand (former) E370162 entity
Predicate hasOfficialName P66 FINISHED
Object Forsand E370162 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: Forsand | Statement: [Forsand (former), hasOfficialName, Forsand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forsand
Context triple: [Forsand (former), hasOfficialName, Forsand]
  • A. Forsand (former) chosen
    Forsand (former) was a former municipality in Rogaland county, Norway, known for encompassing parts of the scenic Lysefjord area, including iconic natural attractions like Preikestolen.
  • B. Fåker
    Fåker is a small village in central Sweden located within Östersund Municipality in Jämtland County.
  • C. Sörforsa
    Sörforsa is a small locality in Gävleborg County, Sweden, known as one of the settlements within Hudiksvall Municipality.
  • D. Saftleven
    Saftleven is a Dutch family name most notably associated with a 17th-century artistic dynasty of painters and draughtsmen from the Netherlands.
  • E. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.