Triple

T13952236
Position Surface form Disambiguated ID Type / Status
Subject Hvalseyfjorden E335556 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Hvalsey E83150 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: Hvalsey | Statement: [Hvalseyfjorden, hasNearbySettlement, Hvalsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hvalsey
Context triple: [Hvalseyfjorden, hasNearbySettlement, Hvalsey]
  • A. Hvalsey chosen
    Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
  • B. Tjørnuvík
    Tjørnuvík is a small, picturesque coastal village in the Faroe Islands, known for its dramatic surrounding mountains, black sand beach, and views of the sea stacks Risin og Kellingin.
  • C. Græsholm
    Græsholm is a small Danish island that forms part of the Hirsholmene archipelago in the Kattegat.
  • D. Vinge
    Vinge is a surname most notably associated with Vernor Vinge, the American science fiction author and mathematician known for popularizing the concept of the technological singularity.
  • E. Moskenes
    Moskenes is a coastal municipality in Nordland county, Norway, known for its dramatic Lofoten archipelago landscapes, fishing villages, and tourism.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1cea88081908c37836447410b97 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.