Triple
T11759666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graf zu Waldeck |
E279618
|
entity |
| Predicate | titleInGerman |
P6492
|
FINISHED |
| Object | Graf zu Waldeck |
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: Graf zu Waldeck | Statement: [Graf zu Waldeck, titleInGerman, Graf zu Waldeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graf zu Waldeck Context triple: [Graf zu Waldeck, titleInGerman, Graf zu Waldeck]
-
A.
Graf zu Waldeck
chosen
Graf zu Waldeck is a noble title historically borne by members of the German princely House of Waldeck.
-
B.
Lord of Lippe
The Lord of Lippe was the medieval noble title held by the rulers of the small German territory of Lippe before it was elevated to a county.
-
C.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Saal an der Saale
Saal an der Saale is a small municipality in northern Bavaria, Germany, situated along the Franconian Saale River.
-
E.
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.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5220f148190ae60d1941a579ab6 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a3dfd1081908221c8061931282b |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.