Triple
T17810036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Wilhelm |
E444672
|
entity |
| Predicate | modernUsageTrend |
P84717
|
FINISHED |
| Object | less common in contemporary Germany |
—
|
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: less common in contemporary Germany | Statement: [Friedrich Wilhelm, modernUsageTrend, less common in contemporary Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernUsageTrend Context triple: [Friedrich Wilhelm, modernUsageTrend, less common in contemporary Germany]
-
A.
modernUse
Indicates how something is currently used or applied in modern times.
-
B.
modernUsageContext
Indicates the contemporary or current context in which something is used, applied, or functions.
-
C.
contemporaryUse
Indicates that something is currently used or practiced in the present time or modern context.
-
D.
latestCommonUse
Indicates the most recent point in time at which two or more entities were used or applicable in common.
-
E.
languageUseTrend
chosen
Indicates how the use or prevalence of a particular language changes over time within a given population or context.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887a50488190b9c148146ec607e6 |
completed | April 19, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:14 a.m.