Triple
T20323863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Risch |
E492280
|
entity |
| Predicate | hasBiographyIn |
P5385
|
FINISHED |
| Object | German Wikipedia |
—
|
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: German Wikipedia | Statement: [Daniel Risch, hasBiographyIn, German Wikipedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: German Wikipedia Context triple: [Daniel Risch, hasBiographyIn, German Wikipedia]
-
A.
German Wikipedia
chosen
German Wikipedia is the German-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
-
B.
German Wikisource
German Wikisource is the German-language edition of Wikisource, a Wikimedia project that provides a free online library of public domain and freely licensed source texts.
-
C.
German Wiktionary
German Wiktionary is the German-language edition of the collaborative, multilingual online dictionary project Wiktionary, providing definitions, translations, and linguistic information for words and phrases.
-
D.
German Wikiversity
German Wikiversity is the German-language edition of Wikiversity, a Wikimedia project dedicated to free educational resources and collaborative learning.
-
E.
German Wikibooks
German Wikibooks is the German-language edition of the Wikibooks project, offering collaboratively written, open-content textbooks and learning materials.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778e59508190bfd7a3ce44d56a93 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:21 a.m.