Triple

T11438852
Position Surface form Disambiguated ID Type / Status
Subject Rødenessjøen E271083 entity
Predicate locatedIn P40 FINISHED
Object Marker municipality E245845 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: Marker municipality | Statement: [Rødenessjøen, locatedIn, Marker municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marker municipality
Context triple: [Rødenessjøen, locatedIn, Marker municipality]
  • A. Marker municipal council
    Marker municipal council is the elected local governing body responsible for administering public services and local policies in the municipality of Marker, Norway.
  • B. municipality of Marker chosen
    The municipality of Marker is a rural local government area in southeastern Norway known for its forests, lakes, and proximity to the Swedish border.
  • C. Mark Municipality
    Mark Municipality is a local government area in Västra Götaland County in western Sweden, known for its textile industry heritage and small-town communities.
  • D. Bar Municipality
    Bar Municipality is a coastal administrative region in southern Montenegro centered around the port city of Bar on the Adriatic Sea.
  • E. Masku municipality
    Masku municipality is a small local government area in Southwest Finland known for its rural landscapes and proximity to the city of Turku.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d39554c48190969cc0ebd4dbc368 completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.