Triple

T22308385
Position Surface form Disambiguated ID Type / Status
Subject Hisøy E551446 entity
Predicate locatedNear P294 FINISHED
Object Arendal 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: Arendal | Statement: [Hisøy, locatedNear, Arendal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arendal
Context triple: [Hisøy, locatedNear, Arendal]
  • A. Arendal chosen
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • B. Nysted
    Nysted is a small coastal town in southeastern Denmark known for its historic harbor, medieval church, and proximity to the Baltic Sea.
  • C. Farsund
    Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
  • D. Henningsvær
    Henningsvær is a picturesque fishing village in northern Norway, known for its traditional architecture, dramatic coastal scenery, and vibrant arts and tourism scene.
  • E. Tønsberg
    Tønsberg is a historic coastal town in southeastern Norway, often regarded as one of the country’s oldest cities and known for its Viking heritage and maritime culture.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574c8a248190bf5eef5be78381fd completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.