Triple
T15105030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann von Salza |
E360767
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
von Salza
von Salza is a German noble family name historically associated with figures such as Hermann von Salza, a prominent Grand Master of the Teutonic Order.
|
E1136287
|
NE FINISHED |
How this triple was built (4 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: von Salza | Statement: [Hermann von Salza, familyName, von Salza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Salza Context triple: [Hermann von Salza, familyName, von Salza]
-
A.
Salza
The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
-
B.
von Schlebrügge
von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
-
C.
Salez
Salez is a village in the municipality of Sennwald in the canton of St. Gallen, Switzerland.
-
D.
von Sonnenthal
Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
-
E.
Vinzgouw
Vinzgouw was a medieval Frankish region associated with the early life and family origins of Hildegard, the wife of Charlemagne.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: von Salza Triple: [Hermann von Salza, familyName, von Salza]
Generated description
von Salza is a German noble family name historically associated with figures such as Hermann von Salza, a prominent Grand Master of the Teutonic Order.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: von Salza Target entity description: von Salza is a German noble family name historically associated with figures such as Hermann von Salza, a prominent Grand Master of the Teutonic Order.
-
A.
Salza
The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
-
B.
von Schlebrügge
von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
-
C.
Salez
Salez is a village in the municipality of Sennwald in the canton of St. Gallen, Switzerland.
-
D.
von Sonnenthal
Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
-
E.
Vinzgouw
Vinzgouw was a medieval Frankish region associated with the early life and family origins of Hildegard, the wife of Charlemagne.
- F. None of above. chosen
Provenance (5 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00588f35481909674f161bf0f3918 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae28e99881908156909e553c2538 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaf39ddec81908da194211b2d0994 |
completed | May 9, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feafce7fa081908bc6167970f1822f |
completed | May 9, 2026, 3:53 a.m. |
Created at: April 10, 2026, 3:05 a.m.