Triple

T3072519
Position Surface form Disambiguated ID Type / Status
Subject Aust-Agder E64056 entity
Predicate borderedBy P224 FINISHED
Object Telemark E93796 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: Telemark | Statement: [Aust-Agder, borderedBy, Telemark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telemark
Context triple: [Aust-Agder, borderedBy, Telemark]
  • A. Telemark chosen
    Telemark is a historic region and former county in southeastern Norway known for its traditional folk culture, distinctive skiing heritage, and varied landscapes of mountains, forests, and coast.
  • B. Birkenes
    Birkenes is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and small villages.
  • C. Lillehammer
    Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
  • D. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • E. Kuusamo
    Kuusamo is a town and municipality in northeastern Finland known for its rugged wilderness, outdoor tourism, and the popular Ruka ski resort.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada14c8bd881909cf1bb2649ba36db completed March 8, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8828c488190877902a6c2dfcb5e completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.