Triple

T2945556
Position Surface form Disambiguated ID Type / Status
Subject Senja E79491 entity
Predicate formedByMergerOf P77 FINISHED
Object Berg Municipality E186820 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: Berg Municipality | Statement: [Senja, formedByMergerOf, Berg Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berg Municipality
Context triple: [Senja, formedByMergerOf, Berg Municipality]
  • A. Tjeldsund Municipality chosen
    Tjeldsund Municipality is a coastal municipality in Northern Norway known for its fjords, islands, and strategic location near the Ofotfjord.
  • B. Nordanstig Municipality
    Nordanstig Municipality is a local government area in east-central Sweden known for its rural landscapes along the Gulf of Bothnia.
  • C. Evenes Municipality
    Evenes Municipality is a small coastal municipality in Nordland county, Norway, known for its scenic fjord landscapes and proximity to the Ofotfjord.
  • D. Trosa Municipality
    Trosa Municipality is a coastal municipality in Södermanland County, Sweden, known for its small-town charm, archipelago landscape, and the historic town of Trosa.
  • E. Ockelbo Municipality
    Ockelbo Municipality is a rural municipality in Gävleborg County, 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b2752481908ec6f9a9cc24c0a7 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc7584588190a8f67621406636ed completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:56 p.m.