Triple
T19738939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Denmark Region |
E474059
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Vodskov |
—
|
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: Vodskov | Statement: [North Denmark Region, containsCity, Vodskov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vodskov Context triple: [North Denmark Region, containsCity, Vodskov]
-
A.
Vodskov
chosen
Vodskov is a town in northern Denmark located in the Vendsyssel region.
-
B.
Vandjala
Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
-
C.
Võsu
Võsu is a small coastal settlement in northern Estonia known for its sandy beach and role as a popular summer resort.
-
D.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
E.
Lypovets
Lypovets is a town in central Ukraine historically known as a local administrative and trade center.
- 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.