Triple
T19003350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Jutland |
E465011
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ikast-Brande |
—
|
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: Ikast-Brande | Statement: [Central Jutland, contains, Ikast-Brande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikast-Brande Context triple: [Central Jutland, contains, Ikast-Brande]
-
A.
Ikast-Brande
chosen
Ikast-Brande is a municipality in Denmark’s Central Jutland region, known for its mix of industrial activity, wind energy production, and rural communities.
-
B.
Ikast
Ikast is a town in central Jutland, Denmark, known for its textile industry and as a local hub for sports and commerce.
-
C.
Skaraborg
Skaraborg is a historical province in southwestern Sweden known for its agricultural landscape, medieval churches, and former military significance.
-
D.
Hillerød
Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
-
E.
Hedensted
Hedensted is a town and municipality in the Central Denmark Region known for its residential communities and local industry.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a252588190a40398b1879fb096 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.