Triple

T13147451
Position Surface form Disambiguated ID Type / Status
Subject Senja Municipality E312375 entity
Predicate hasOfficialName P66 FINISHED
Object Senja kommune E312375 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: Senja kommune | Statement: [Senja Municipality, hasOfficialName, Senja kommune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senja kommune
Context triple: [Senja Municipality, hasOfficialName, Senja kommune]
  • A. Senja Municipality chosen
    Senja Municipality is a local government area in Troms og Finnmark county, Norway, encompassing much of the island of Senja and surrounding mainland and coastal areas.
  • B. Voss Municipality
    Voss Municipality is a local government area in western Norway known for its dramatic landscapes, outdoor sports, and cultural traditions.
  • C. Vanylven Municipality
    Vanylven Municipality is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • D. Lessebo Municipality
    Lessebo Municipality is a local government area in southern Sweden known for its forests, glassworks tradition, and paper industry.
  • E. Sogndal Municipality
    Sogndal Municipality is a scenic local government area in western Norway known for its fjord landscape, outdoor recreation, and the town of Sogndal as an educational and service center.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a2894848190b5853127ef04932c completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:10 p.m.