Triple

T14379258
Position Surface form Disambiguated ID Type / Status
Subject Rennesøy E356556 entity
Predicate hadDemonym P191 FINISHED
Object Rennesøybu E356556 NE FINISHED

How this triple was built (3 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: Rennesøybu | Statement: [Rennesøy, hadDemonym, Rennesøybu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rennesøybu
Context triple: [Rennesøy, hadDemonym, Rennesøybu]
  • A. Rennesøy chosen
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • B. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • C. Dillingøy
    Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
  • D. Hisøy
    Hisøy is an island in southern Norway that forms part of the coastal region of Agder, known for its maritime character and proximity to the town of Arendal.
  • E. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadDemonym
Context triple: [Rennesøy, hadDemonym, Rennesøybu]
  • A. hasDemonym chosen
    Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
  • B. relatedDemonym
    Indicates that one entity is the demonym (name for residents or natives) associated with the other entity.
  • C. usesDemonymForm
    Indicates that one entity refers to another using a demonym form, i.e., a name derived from the inhabitants or nationality associated with that entity.
  • D. hasDemonymLanguage
    Indicates that a language is used as the demonym (people’s name or adjective of nationality) for inhabitants of a particular place or group.
  • E. ethnicEponymOf
    Indicates that one term is an eponym derived from or naming an ethnic group or people.
  • F. None of above.

Provenance (4 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69de2a9cb3e081909f6b33fdd939bb9e completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:16 a.m.