Triple

T16490922
Position Surface form Disambiguated ID Type / Status
Subject Sermersooq municipality E400564 entity
Predicate contains P35 FINISHED
Object Gunnbjørn Fjeld E88948 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: Gunnbjørn Fjeld | Statement: [Sermersooq municipality, contains, Gunnbjørn Fjeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunnbjørn Fjeld
Context triple: [Sermersooq municipality, contains, Gunnbjørn Fjeld]
  • A. Gunnbjørn Fjeld chosen
    Gunnbjørn Fjeld is the tallest mountain in the Arctic and a prominent peak of Greenland’s remote ice-covered interior.
  • B. Heilefjellet
    Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western Norway.
  • C. Olav Peak
    Olav Peak is a mountain summit whose name, derived from the Norwegian "Olavtoppen," reflects Scandinavian influence in its naming.
  • D. Nuup Kangerlua
    Nuup Kangerlua is a large fjord in southwestern Greenland that serves as the coastal inlet and maritime gateway for the capital city, Nuuk.
  • E. Narvikfjellet
    Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e2f31f48190825af5934d976ab7 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058266b8c8190adc0974025553783 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.