Triple

T7587643
Position Surface form Disambiguated ID Type / Status
Subject Hofors Municipality E179655 entity
Predicate seat P75 FINISHED
Object Hofors E672136 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: Hofors | Statement: [Hofors Municipality, seat, Hofors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hofors
Context triple: [Hofors Municipality, seat, Hofors]
  • A. Hofors chosen
    Hofors is a small industrial town in central Sweden known historically for its steel and metalworking industries.
  • B. Söderfors
    Söderfors is a small locality in Uppsala County, Sweden, known historically for its ironworks and scenic location by the Dalälven river.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Rehnskiöld
    Rehnskiöld is a Swedish noble family name most notably borne by Carl Gustav Rehnskiöld, a prominent general of the Swedish Empire during the Great Northern War.
  • E. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f99875908190b09584cf13ea1e08 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86840abc08190b7ca9fb8e2968311 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:52 p.m.