Triple

T13808493
Position Surface form Disambiguated ID Type / Status
Subject Lom municipality E331819 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: [Lom municipality, borders, Vang municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vang municipality
Context triple: [Lom 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. Vågan Municipality
    Vågan Municipality is a coastal municipality in Nordland county, Norway, known for its fishing communities, dramatic Lofoten archipelago landscapes, and tourism.
  • C. Vanylven Municipality
    Vanylven Municipality is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • D. Voss Municipality
    Voss Municipality is a local government area in western Norway known for its dramatic landscapes, outdoor sports, and cultural traditions.
  • E. Vik Municipality
    Vik Municipality is a local government area in western Norway known for its fjord landscapes, historic stave church, 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08fbc348190a199c5d92e0e46be completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.