Triple
T3920564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inatsisartut |
E88947
|
entity |
| Predicate | capital |
P234
|
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: [Inatsisartut, capital, Nuuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuuk Context triple: [Inatsisartut, capital, 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.
Longyearbyen
Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
-
C.
Karasjok
Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
-
D.
Iqaluit
Iqaluit is the capital and largest community of Nunavut in northern Canada, located on Baffin Island and serving as a key administrative and transportation hub in the Arctic.
-
E.
Kiruna
Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed5c28b08190b32ce81e5bd8f586 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5286c807481908a67471da777b264 |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:22 p.m.