Triple
T21035281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess of Saxe-Hildburghausen |
E518172
|
entity |
| Predicate | titleHolderEthnicity |
P81902
|
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: [Duchess of Saxe-Hildburghausen, titleHolderEthnicity, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderEthnicity Context triple: [Duchess of Saxe-Hildburghausen, titleHolderEthnicity, German]
-
A.
holderEthnicity
chosen
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
B.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
C.
EthnicaType
Indicates a relationship where an entity is classified according to a specific ethnic category or type.
-
D.
EthnicaSubject
Indicates that the subject has an ethnic or national affiliation characterized by the specified ethnonym or ethnic identity.
-
E.
artistEthnicity
Indicates that an artist has a specific ethnic background or affiliation.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc858d808190a8489aac801a4f51 |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:02 p.m.