Triple

T21703432
Position Surface form Disambiguated ID Type / Status
Subject Bohuslän E535711 entity
Predicate containsTown P847 FINISHED
Object Grebbestad NE NERFINISHED

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: Grebbestad | Statement: [Bohuslän, containsTown, Grebbestad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grebbestad
Context triple: [Bohuslän, containsTown, Grebbestad]
  • A. Grebbestad chosen
    Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
  • B. Slemmestad
    Slemmestad is a village in Asker Municipality in Viken county, Norway, known historically for its cement industry along the Oslofjord.
  • C. Tonstad
    Tonstad is a small village in Agder county, Norway, serving as the administrative and commercial center of Sirdal municipality.
  • D. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • E. Bjølstad
    Bjølstad is a small settlement located in Sel municipality in Innlandet county, Norway, known for its rural setting in the Gudbrandsdalen valley region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b82901c81909de242c920fbc164 completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:46 p.m.