Triple

T21519706
Position Surface form Disambiguated ID Type / Status
Subject LYR E530939 entity
Predicate namedAfter P63 FINISHED
Object Longyearbyen (LYR code derived from Longyear) NE NERFINISHED

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: Longyearbyen (LYR code derived from Longyear) | Statement: [LYR, namedAfter, Longyearbyen (LYR code derived from Longyear)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longyearbyen (LYR code derived from Longyear)
Context triple: [LYR, namedAfter, Longyearbyen (LYR code derived from Longyear)]
  • A. Longyearbyen chosen
    Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
  • B. Karasjok
    Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • C. Ny-Ålesund research station
    Ny-Ålesund research station is a high-Arctic international research hub on Svalbard focused on climate, environmental, and atmospheric science.
  • D. Lyø
    Lyø is a small Danish island in the South Funen Archipelago known for its historic village, traditional half-timbered houses, and scenic rural landscapes.
  • E. Leknes
    Leknes is a small coastal town in Norway’s Lofoten archipelago, known for its dramatic mountain-and-sea landscapes and role as a regional commercial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884af0f08190bc1f3d70e57a325d completed April 26, 2026, 9:48 p.m.
Created at: April 16, 2026, 6:26 p.m.