Triple
T14201117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenland coast |
E351965
|
entity |
| Predicate | hasCity |
P316
|
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: [Greenland coast, hasCity, Nuuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuuk Context triple: [Greenland coast, hasCity, 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194f13688190af7ef5ceb92a73ff |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.