Triple
T12034832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudkøbing |
E286509
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Danish |
E447062
|
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: Danish | Statement: [Rudkøbing, hasLanguage, Danish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danish Context triple: [Rudkøbing, hasLanguage, Danish]
-
A.
Danish
chosen
Danish is a North Germanic language primarily spoken in Denmark and used as the official language of the country.
-
B.
DANSKE
DANSKE is the stock ticker symbol for Danske Bank, a major Nordic financial services group headquartered in Denmark.
-
C.
Danish Days
Danish Days is an annual cultural festival in Solvang, California that celebrates the town’s Danish heritage with traditional food, music, dancing, and parades.
-
D.
Dybbøl
Dybbøl is a historic village in southern Denmark best known as the site of major battles during the Second Schleswig War, particularly the 1864 Battle of Dybbøl.
-
E.
Danish Canadians
Danish Canadians are Canadian residents and citizens of Danish ancestry who contribute to the country’s cultural mosaic through traditions, language, and community organizations rooted in Denmark.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d7d453c8190a27c5feca8f38991 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.