Triple
T28629155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Wiktionary |
E724596
|
entity |
| Predicate | mainTypeOfContent |
P82617
|
FINISHED |
| Object | dictionary entries |
—
|
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: dictionary entries | Statement: [Dutch Wiktionary, mainTypeOfContent, dictionary entries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTypeOfContent Context triple: [Dutch Wiktionary, mainTypeOfContent, dictionary entries]
-
A.
mainContentType
chosen
Indicates the primary type or category of content associated with an entity or resource.
-
B.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
C.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
D.
contentIs
Indicates that one entity serves as, or is equivalent to, the content contained within another entity.
-
E.
primaryMediaType
Indicates the main or dominant type of media associated with an entity (for example, image, video, audio, or text).
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 4:37 a.m.