Triple
T19738929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Denmark Region |
E474059
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Farsø |
—
|
NE NERFINISHED |
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: Farsø | Statement: [North Denmark Region, containsCity, Farsø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farsø Context triple: [North Denmark Region, containsCity, Farsø]
-
A.
Farsø
chosen
Farsø is a small Danish town in North Jutland, best known as the birthplace of Nobel Prize–winning author Johannes V. Jensen.
-
B.
Nysted
Nysted is a small coastal town in southeastern Denmark known for its historic harbor, medieval church, and proximity to the Baltic Sea.
-
C.
Fjerritslev
Fjerritslev is a small Danish town in the North Jutland region, known historically for its agricultural surroundings and local brewery heritage.
-
D.
Tunø
Tunø is a small Danish island in the Kattegat known for its car-free village, scenic landscapes, and popularity as a holiday and sailing destination.
-
E.
Vadsø
Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515f6efc8190a3da113847464399 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.