Triple
T16310004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonkheer von Amsberg |
E396027
|
entity |
| Predicate | ethnicOriginOfFamily |
P194
|
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: [Jonkheer von Amsberg, ethnicOriginOfFamily, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicOriginOfFamily Context triple: [Jonkheer von Amsberg, ethnicOriginOfFamily, German]
-
A.
ethnicOrigin
chosen
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
B.
countryOfHeritage
Indicates the country from which an entity’s cultural, ancestral, or familial heritage originates.
-
C.
cultureOfOrigin
Indicates the cultural background or tradition from which an entity originates or is derived.
-
D.
fatherEthnicity
Indicates the ethnic background or heritage associated specifically with a person's father.
-
E.
likelyNationalOrigin
Indicates that one entity is inferred or predicted to have a particular national origin based on available information 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d9557c81909203cd47aebf0f44 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.