Triple

T8024588
Position Surface form Disambiguated ID Type / Status
Subject Tjeldsund Municipality E186820 entity
Predicate containsIsland P970 FINISHED
Object Hinnøya E80568 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: Hinnøya | Statement: [Tjeldsund Municipality, containsIsland, Hinnøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinnøya
Context triple: [Tjeldsund Municipality, containsIsland, Hinnøya]
  • A. Hinnøya chosen
    Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
  • B. Brønnøya
    Brønnøya is a scenic island in the Oslofjord known for its holiday homes, nature trails, and car-free environment, located within the municipality of Asker in Norway.
  • C. Lindøya
    Lindøya is a small, scenic island in the Oslofjord known for its colorful wooden cottages, car-free environment, and popularity as a summer retreat near Oslo.
  • D. Storøya
    Storøya is an island located in the lake Tyrifjorden in Norway.
  • E. Andøya
    Andøya is a large Norwegian island in Nordland county, known for its dramatic coastal landscapes, space center, and rich bird and whale-watching opportunities.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e90c7348190abc1013a312e4f1a completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd340abffc8190bbc17aa9b775a9cb completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:21 p.m.