Triple
T15409674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Waldeck |
E368552
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | zu Waldeck und Pyrmont |
E279618
|
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: zu Waldeck und Pyrmont | Statement: [Prince Waldeck, familyName, zu Waldeck und Pyrmont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: zu Waldeck und Pyrmont Context triple: [Prince Waldeck, familyName, zu Waldeck und Pyrmont]
-
A.
Waldeck and Pyrmont
Waldeck and Pyrmont was a small historical principality in what is now Germany, ruled by its own princes until it was incorporated into Prussia in the early 20th century.
-
B.
House of Waldeck
The House of Waldeck was a German noble dynasty that ruled the small principality of Waldeck in what is now central Germany.
-
C.
Waldeck-Frankenberg
Waldeck-Frankenberg is a rural district in northern Hesse, Germany, known for its scenic landscapes, forests, and small historic towns.
-
D.
Graf zu Waldeck
chosen
Graf zu Waldeck is a noble title historically borne by members of the German princely House of Waldeck.
-
E.
Sarre-Union
Sarre-Union is a small commune in northeastern France’s Grand Est region, known for its historic town center and location in the Alsace Bossue area.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135d65988190b35392bdf1e45985 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.