Triple
T7488470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Jutland |
E176942
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Haderslev |
E128727
|
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: Haderslev | Statement: [South Jutland, containsCity, Haderslev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haderslev Context triple: [South Jutland, containsCity, Haderslev]
-
A.
Haderslev
chosen
Haderslev is a historic town in southern Denmark known for its medieval cathedral, old town center, and role as a regional cultural and administrative hub.
-
B.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
C.
Thisted
Thisted is a coastal town and municipality in northwestern Jutland, Denmark, known for its scenic location by the Limfjord and its role as a regional commercial and cultural center.
-
D.
Næstved
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
-
E.
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.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55965ac81909d3c3a5422b22d44 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8613eaf0c8190b33cb22dd83ee59c |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:43 p.m.