Triple

T13408137
Position Surface form Disambiguated ID Type / Status
Subject Kujalleq municipality E320014 entity
Predicate capital P234 FINISHED
Object Qaqortoq E320015 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: Qaqortoq | Statement: [Kujalleq municipality, capital, Qaqortoq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qaqortoq
Context triple: [Kujalleq municipality, capital, Qaqortoq]
  • A. Qaqortoq chosen
    Qaqortoq is a town in southern Greenland known for its colorful houses, historic Norse and Inuit heritage, and role as a regional hub.
  • B. Good Queen Maud
    Good Queen Maud, born Edith of Scotland, was an Anglo-Saxon princess who became the revered first wife of King Henry I of England and was celebrated for her piety and charitable works.
  • C. The North Water
    The North Water is a British television drama miniseries adapted from Ian McGuire’s novel, following a disgraced surgeon on a brutal 19th-century whaling expedition in the Arctic.
  • D. Am Meer
    "Am Meer" is a German art song composed by Franz Schubert, best known as one of the settings in his posthumously published song cycle "Schwanengesang."
  • E. The Frozen Deep
    The Frozen Deep is a collaborative stage play (later adapted into a novella) by Wilkie Collins, with contributions from Charles Dickens, that dramatizes a doomed Arctic expedition and the themes of sacrifice and redemption.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4d2c5481908facfaaa1501e344 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ad4448190b4fb99abcc00430b completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.