Triple

T21703435
Position Surface form Disambiguated ID Type / Status
Subject Bohuslän E535711 entity
Predicate containsIsland P970 FINISHED
Object Orust 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: Orust | Statement: [Bohuslän, containsIsland, Orust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orust
Context triple: [Bohuslän, containsIsland, Orust]
  • A. Orust chosen
    Orust is one of Sweden’s largest west-coast islands, located in the province of Bohuslän and known for its fishing heritage, boatbuilding, and scenic coastal landscapes.
  • B. Ruusan
    Ruusan is a war-torn planet in the Star Wars universe best known as the site of the climactic conflict between the Jedi and the Sith that led to the Rule of Two.
  • C. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • D. Tartumaa
    Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
  • E. Norg
    Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
  • 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.