Triple

T13920420
Position Surface form Disambiguated ID Type / Status
Subject Tunulliarfik Fjord E334726 entity
Predicate languageRegion P387 FINISHED
Object Danish E447062 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: Danish | Statement: [Tunulliarfik Fjord, languageRegion, Danish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danish
Context triple: [Tunulliarfik Fjord, languageRegion, Danish]
  • A. Danish chosen
    Danish is a North Germanic language primarily spoken in Denmark and used as the official language of the country.
  • B. DANSKE
    DANSKE is the stock ticker symbol for Danske Bank, a major Nordic financial services group headquartered in Denmark.
  • C. Danish Days
    Danish Days is an annual cultural festival in Solvang, California that celebrates the town’s Danish heritage with traditional food, music, dancing, and parades.
  • D. Dybbøl
    Dybbøl is a historic village in southern Denmark best known as the site of major battles during the Second Schleswig War, particularly the 1864 Battle of Dybbøl.
  • E. Danish Canadians
    Danish Canadians are Canadian residents and citizens of Danish ancestry who contribute to the country’s cultural mosaic through traditions, language, and community organizations rooted in Denmark.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7c4a788190a1e7619a00ab0c2e completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.