Triple
T30938289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunzlau |
E788184
|
entity |
| Predicate | languageBefore1945 |
P199675
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Bunzlau, languageBefore1945, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageBefore1945 Context triple: [Bunzlau, languageBefore1945, German]
-
A.
regionBefore1945
Indicates that one region existed or was defined in a particular way prior to the year 1945.
-
B.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
-
C.
countryBefore1940
Indicates that the specified country existed or was recognized as such prior to the year 1940.
-
D.
operatorAfter1945
Indicates that the entity served as an operator of the related object or system at some point after the year 1945.
-
E.
countryBefore1945
Indicates that one country existed or held a particular status in relation to another country before the year 1945.
- F. None of above. chosen
Provenance (4 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff4fc6077c8190b8fd9b43fcfde986 |
completed | May 9, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69ff4e61fb648190a72f7918961ece9c |
completed | May 9, 2026, 3:10 p.m. |
| PDg | Predicate description generation | batch_69ff4fc5289c819084abd5ede185e96b |
completed | May 9, 2026, 3:16 p.m. |
Created at: April 29, 2026, 8:52 p.m.