Triple

T13622822
Position Surface form Disambiguated ID Type / Status
Subject Værøy E325498 entity
Predicate isPartOf P10 FINISHED
Object Lofoten E79490 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: Lofoten | Statement: [Værøy, isPartOf, Lofoten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lofoten
Context triple: [Værøy, isPartOf, Lofoten]
  • A. Lofoten chosen
    Lofoten is a dramatic Arctic archipelago in Norway known for its steep mountains, sheltered bays, fishing villages, and views of the midnight sun and Northern Lights.
  • B. Vesterålen
    Vesterålen is a scenic archipelago in northern Norway known for its dramatic coastal landscapes, rich fishing traditions, and excellent whale-watching opportunities.
  • C. Hamarøy
    Hamarøy is a coastal municipality in Nordland county, Norway, known for its dramatic fjord and mountain landscapes and its association with author Knut Hamsun.
  • D. 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.
  • E. Vardøya island
    Vardøya island is a small Arctic island in northeastern Norway that hosts the town of Vardø and is known for its remote location, harsh climate, and historical coastal fortifications.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02b55f4819098f2b18fcf17ef0e completed May 9, 2026, 10:07 p.m.
Created at: April 9, 2026, 9:50 p.m.