Triple
T8342322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas von Kantzow |
E195948
|
entity |
| Predicate | hasFamilyNameLanguage |
P27865
|
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: [Thomas von Kantzow, hasFamilyNameLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyNameLanguage Context triple: [Thomas von Kantzow, hasFamilyNameLanguage, German]
-
A.
hasFamilyNameInLanguage
chosen
Indicates that an entity has a specific family name as expressed or written in a particular language.
-
B.
isInLanguageFamily
Indicates that a language belongs to, or is classified within, a particular language family based on shared linguistic ancestry or characteristics.
-
C.
hasFamilyNameOf
Indicates that one entity bears or uses the same family name (surname) as another entity.
-
D.
usesLanguageFamily
Indicates that an entity communicates or operates using a language that belongs to a specified language family.
-
E.
hasFullNameLanguage
Indicates that the language in which a full name is expressed is associated with that full name.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fe9efec81908e0c9ded3963bac5 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:58 p.m.