Triple
T2582964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Waldeck |
E57134
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
Graf zu Waldeck
Graf zu Waldeck is a noble title historically borne by members of the German princely House of Waldeck.
|
E279618
|
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: Graf zu Waldeck | Statement: [Prince of Waldeck, hasTitle, Graf zu Waldeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graf zu Waldeck Context triple: [Prince of Waldeck, hasTitle, Graf zu Waldeck]
-
A.
Land van Altena
Land van Altena is a historical region in the northern part of the Dutch province of North Brabant, known for its rural landscape and position along major rivers such as the Waal and Merwede.
-
B.
Balm bei Günsberg
Balm bei Günsberg is a small Swiss municipality located at the southern foot of the Jura Mountains in the canton of Solothurn.
-
C.
Kaiserwiese
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
-
D.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
E.
Bad Tölz
Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
- 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: Graf zu Waldeck Triple: [Prince of Waldeck, hasTitle, Graf zu Waldeck]
Generated description
Graf zu Waldeck is a noble title historically borne by members of the German princely House of Waldeck.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graf zu Waldeck Target entity description: Graf zu Waldeck is a noble title historically borne by members of the German princely House of Waldeck.
-
A.
Land van Altena
Land van Altena is a historical region in the northern part of the Dutch province of North Brabant, known for its rural landscape and position along major rivers such as the Waal and Merwede.
-
B.
Balm bei Günsberg
Balm bei Günsberg is a small Swiss municipality located at the southern foot of the Jura Mountains in the canton of Solothurn.
-
C.
Kaiserwiese
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
-
D.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
E.
Bad Tölz
Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c9d0548190b29743ac1d7837ff |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657f39dc8190971e0ad7a5396257 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af688f1ca88190acb81cbe148bed68 |
completed | March 10, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6901c1fc8190ab469bb5cf222724 |
completed | March 10, 2026, 12:42 a.m. |
Created at: March 6, 2026, 9:49 p.m.