Triple

T13408352
Position Surface form Disambiguated ID Type / Status
Subject Government of Greenland E320018 entity
Predicate seatOfGovernment P761 FINISHED
Object Nuuk E92187 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: Nuuk | Statement: [Government of Greenland, seatOfGovernment, Nuuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuuk
Context triple: [Government of Greenland, seatOfGovernment, Nuuk]
  • A. Nuuk chosen
    Nuuk is the largest city in Greenland, serving as its cultural and economic center on the country's southwest coast.
  • B. Gjoa Haven
    Gjoa Haven is a small Inuit community in Nunavut, Canada, known as a historic Arctic settlement linked to polar exploration and the Northwest Passage.
  • C. Nuuk Airport
    Nuuk Airport is the main domestic and regional airport serving Greenland’s capital, providing vital air connections within the country and to select international destinations.
  • D. Longyearbyen
    Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
  • E. Karasjok
    Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • 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_69f739857dd4819087e64b956a814939 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:35 p.m.