Triple

T13262660
Position Surface form Disambiguated ID Type / Status
Subject Lenvik Municipality E315837 entity
Predicate partOf P40 FINISHED
Object Senja region E1024622 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 region | Statement: [Lenvik Municipality, partOf, Senja region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senja region
Context triple: [Lenvik Municipality, partOf, Senja region]
  • A. Senja region chosen
    The Senja region is a coastal area in Troms, Northern Norway, centered on the island of Senja and known for its dramatic mountains, fjords, and fishing communities.
  • B. Seeland region
    The Seeland region is an area in western Switzerland known for its lakes, fertile plains, and intensive agriculture, particularly vegetable farming.
  • C. Malnad region
    The Malnad region is a hilly, forested belt of the Western Ghats in Karnataka, India, known for its heavy rainfall, lush greenery, and coffee and spice plantations.
  • D. Taunus region
    The Taunus region is a low mountain range in Hesse, Germany, known for its forested hills, spa towns, and historical castles overlooking the Rhine-Main area.
  • E. Setesdal region
    The Setesdal region is a traditional valley area in southern Norway known for its distinctive folk culture, music, and well-preserved rural landscapes.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901b380881909e6520fbb6811084 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a48bc488190a5cf692d81bdcbba completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.