Triple

T13398220
Position Surface form Disambiguated ID Type / Status
Subject Moskenesøya E319755 entity
Predicate hasBeach P1922 FINISHED
Object Rambergstranda E1037624 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: Rambergstranda | Statement: [Moskenesøya, hasBeach, Rambergstranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rambergstranda
Context triple: [Moskenesøya, hasBeach, Rambergstranda]
  • A. Rambergstranda chosen
    Rambergstranda is a scenic white-sand beach on the island of Flakstadøya in Norway’s Lofoten archipelago, known for its dramatic mountain backdrop and clear turquoise waters.
  • B. Hornbergs strand
    Hornbergs strand is a waterfront district on the island of Kungsholmen in central Stockholm, known for its modern residential buildings and promenade along the water.
  • C. Stranda
    Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
  • D. Nordstrand
    Nordstrand is a low-lying, dike-protected island off the coast of Schleswig-Holstein in northern Germany, known for its North Sea marshland landscape and traditional Frisian culture.
  • E. Nordstrand
    Nordstrand is a popular sandy beach area on the North Sea island of Norderney in Germany, known for its coastal scenery and recreational 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d9e7348190844e11dd6cbd13b0 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73071c0b88190bca3b15ea11c7491 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.