Triple
T34275051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig II. von Ungarn und Böhmen |
E879428
|
entity |
| Predicate | Kinder |
P980
|
FINISHED |
| Object | keine überlebenden legitimen Nachkommen |
—
|
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: keine überlebenden legitimen Nachkommen | Statement: [Ludwig II. von Ungarn und Böhmen, Kinder, keine überlebenden legitimen Nachkommen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Kinder Context triple: [Ludwig II. von Ungarn und Böhmen, Kinder, keine überlebenden legitimen Nachkommen]
-
A.
children
chosen
Indicates that one entity is the offspring or direct descendant of another entity.
-
B.
childIn
Indicates that one entity is the offspring or direct descendant of another entity.
-
C.
childDuring
Indicates that one entity is the child of another specifically during a given time interval or temporal context.
-
D.
childIs
Indicates that one entity is the child (offspring or subordinate descendant) of another entity.
-
E.
childrenFounded
Indicates that the subject’s children established, created, or founded the object entity (such as an organization, institution, or project).
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.