Triple
T16095611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dane |
E390474
|
entity |
| Predicate | endonymFormInDanish |
P1435
|
FINISHED |
| Object | dansker |
—
|
LITERAL 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: dansker | Statement: [Dane, endonymFormInDanish, dansker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endonymFormInDanish Context triple: [Dane, endonymFormInDanish, dansker]
-
A.
hasNameInDanish
Indicates that an entity is associated with a specific name expressed in the Danish language.
-
B.
officialNameInDanish
Indicates the officially recognized name of an entity when expressed in the Danish language.
-
C.
hasDanishNameMeaning
Indicates that an entity has a Danish name whose semantic meaning or etymology is being specified.
-
D.
hasEndonym
chosen
Indicates that an entity has a name or designation used by native speakers or within its own local language or community.
-
E.
isEndonym
Indicates that a name is used by a group to refer to themselves or their own place/language, rather than being an external or foreign designation.
- F. None of above.
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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.