Triple

T13398199
Position Surface form Disambiguated ID Type / Status
Subject Moskenesøya E319755 entity
Predicate hasVillage P4011 FINISHED
Object Fredvang E1037623 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: Fredvang | Statement: [Moskenesøya, hasVillage, Fredvang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredvang
Context triple: [Moskenesøya, hasVillage, Fredvang]
  • A. Fredvang chosen
    Fredvang is a small coastal village in the Lofoten archipelago of northern Norway, known for its scenic landscapes and traditional fishing heritage.
  • B. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • C. Hjorthagen
    Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • D. Ferkingstad
    Ferkingstad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway, known for its fishing heritage and scenic North Sea shoreline.
  • E. Vanylven
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • 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.