Triple
T11787257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mafalda of Savoy |
E280301
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Weimar, Thuringia |
E111310
|
NE 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: Weimar, Thuringia | Statement: [Mafalda of Savoy, placeOfDeath, Weimar, Thuringia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weimar, Thuringia Context triple: [Mafalda of Savoy, placeOfDeath, Weimar, Thuringia]
-
A.
Weimar
chosen
Weimar is a historic German city renowned as a center of culture and the arts, associated with figures like Goethe and Schiller and pivotal movements in modern design and architecture.
-
B.
Weimar (Lahn)
Weimar (Lahn) is a small municipality in the German state of Hesse, located near the university city of Marburg.
-
C.
Friedberg, Hesse
Friedberg, Hesse is a historic town in central Germany’s state of Hesse, known for its medieval architecture and prominent hilltop fortress.
-
D.
Erfurt
Erfurt is a historic German city in the state of Thuringia, known for its well-preserved medieval old town and as an important cultural and educational center.
-
E.
Hesse, Germany
Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a586803481909af0032c35ca6e51 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090e8828481908baa7f6067190db3 |
completed | April 28, 2026, 10:50 a.m. |
Created at: April 8, 2026, 9:42 p.m.