Triple
T19738930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Denmark Region |
E474059
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Støvring |
—
|
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: Støvring | Statement: [North Denmark Region, containsCity, Støvring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Støvring Context triple: [North Denmark Region, containsCity, Støvring]
-
A.
Solør
Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
-
B.
Ingdal
Ingdal is a small rural settlement in the municipality of Agdenes in Trøndelag county, central Norway.
-
C.
Stavern
Stavern is a small coastal town in southern Norway known for its historic fortress, maritime heritage, and role as a popular summer holiday destination.
-
D.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
-
E.
Østervrå
chosen
Østervrå is a small town in the Vendsyssel region of northern Denmark.
- 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.