Triple

T16468196
Position Surface form Disambiguated ID Type / Status
Subject Stryn Municipality E399987 entity
Predicate borders P224 FINISHED
Object Stad Municipality E1157934 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: Stad Municipality | Statement: [Stryn Municipality, borders, Stad Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stad Municipality
Context triple: [Stryn Municipality, borders, Stad Municipality]
  • A. Stad Municipality chosen
    Stad Municipality is a local government area in Vestland county, Norway, established through the merger of former municipalities including Eid.
  • B. Filipstad Municipality
    Filipstad Municipality is a local government area in central Sweden known for its forests, lakes, and small industrial towns, with Filipstad as its administrative center.
  • C. Sur Municipality
    Sur Municipality is the local governing body responsible for administering public services and development in the Sur district of Oman.
  • D. Storuman Municipality
    Storuman Municipality is a sparsely populated local government area in northern Sweden known for its vast forests, lakes, and outdoor recreation opportunities.
  • E. Orsa Municipality
    Orsa Municipality is a local government area in Dalarna County, central Sweden, known for its forests, lakes, and outdoor recreation 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dce342081909cad56dc92de13a2 completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581a11e881908681f68c26ee6a05 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:11 a.m.