Triple
T21388552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Maria Franziska of Saxe-Lauenburg |
E527575
|
entity |
| Predicate | nobleFamily |
P914
|
FINISHED |
| Object | Ascania |
—
|
NE NERFINISHED |
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: Ascania | Statement: [Anna Maria Franziska of Saxe-Lauenburg, nobleFamily, Ascania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ascania Context triple: [Anna Maria Franziska of Saxe-Lauenburg, nobleFamily, Ascania]
-
A.
Ascania
chosen
Ascania is a historic region in central Germany that gave its name to the medieval Ascanian noble dynasty.
-
B.
Askania
Askania is the ancient name of a historically significant lake, often associated with classical geography and mythology.
-
C.
Sorocea
Sorocea is a genus of flowering plants in the mulberry family Moraceae, comprising mostly tropical trees and shrubs native to Central and South America.
-
D.
Arakoon
Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
-
E.
Bistonia
Bistonia is a region in ancient Thrace associated with the myth of the Mares of Diomedes and the warlike Bistones tribe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f6ce4c81909da915139610a2a7 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.