Triple

T15529212
Position Surface form Disambiguated ID Type / Status
Subject Luster Municipality E370165 entity
Predicate borders P224 FINISHED
Object Vang Municipality E331818 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: Vang Municipality | Statement: [Luster Municipality, borders, Vang Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vang Municipality
Context triple: [Luster Municipality, borders, Vang Municipality]
  • A. Vang municipality chosen
    Vang municipality is a rural local government area in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
  • B. Vanylven Municipality
    Vanylven Municipality is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • C. Vik Municipality
    Vik Municipality is a local government area in western Norway known for its fjord landscapes, historic stave church, and rural communities.
  • D. Vågan Municipality
    Vågan Municipality is a coastal municipality in Nordland county, Norway, known for its fishing communities, dramatic Lofoten archipelago landscapes, and tourism.
  • E. Voss Municipality
    Voss Municipality is a local government area in western Norway known for its dramatic landscapes, outdoor sports, and cultural traditions.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.