Triple

T10429919
Position Surface form Disambiguated ID Type / Status
Subject Rødenes E245883 entity
Predicate hasNameInLanguage P15 FINISHED
Object Rødenes (Norwegian) E245883 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: Rødenes (Norwegian) | Statement: [Rødenes, hasNameInLanguage, Rødenes (Norwegian)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rødenes (Norwegian)
Context triple: [Rødenes, hasNameInLanguage, Rødenes (Norwegian)]
  • A. Rødenes chosen
    Rødenes is a small village and former municipality in southeastern Norway, known for its rural landscape and historic church.
  • B. Røra
    Røra is a small village in the municipality of Inderøy in Trøndelag county, Norway, known for its rural setting and local food industry.
  • C. Rødberg
    Rødberg is a small village in southern Norway that serves as the administrative center of Nore og Uvdal municipality and a local hub for hydroelectric power production.
  • D. Valdresmål
    Valdresmål is a traditional Norwegian dialect spoken in the Valdres region, known for its distinctive phonology and preservation of many Old Norse features.
  • E. Trondenes
    Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea62d6448190a7f5b785467824cf completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87eb068bc8190be9c7c916850278e completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:13 p.m.