Triple
T19303062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Waldburg |
E482749
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object |
Waldsee
Waldsee is a historic town in southern Germany that served as the ancestral seat of the noble House of Waldburg.
|
E1368711
|
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: Waldsee | Statement: [House of Waldburg, seat, Waldsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldsee Context triple: [House of Waldburg, seat, Waldsee]
-
A.
Wangsersee
Wangsersee is a scenic alpine lake situated in the Pizol mountain area of the Swiss Alps, popular with hikers for its clear waters and panoramic surroundings.
-
B.
Fichtelsee
Fichtelsee is a scenic artificial mountain lake in Germany’s Fichtelgebirge region, popular for hiking, swimming, and nature recreation.
-
C.
Kettwiger See
Kettwiger See is a reservoir on the Ruhr River in North Rhine-Westphalia, Germany, used for water management, recreation, and local energy production.
-
D.
Bannwaldsee
Bannwaldsee is a scenic lake in the Ostallgäu region of Bavaria, Germany, known for its natural surroundings and recreational opportunities.
-
E.
Beidersee
Beidersee is a village in the Saalekreis district of Saxony-Anhalt, Germany, that forms part of the town of Wettin-Löbejün.
- 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: Waldsee Triple: [House of Waldburg, seat, Waldsee]
Generated description
Waldsee is a historic town in southern Germany that served as the ancestral seat of the noble House of Waldburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waldsee Target entity description: Waldsee is a historic town in southern Germany that served as the ancestral seat of the noble House of Waldburg.
-
A.
Wangsersee
Wangsersee is a scenic alpine lake situated in the Pizol mountain area of the Swiss Alps, popular with hikers for its clear waters and panoramic surroundings.
-
B.
Fichtelsee
Fichtelsee is a scenic artificial mountain lake in Germany’s Fichtelgebirge region, popular for hiking, swimming, and nature recreation.
-
C.
Kettwiger See
Kettwiger See is a reservoir on the Ruhr River in North Rhine-Westphalia, Germany, used for water management, recreation, and local energy production.
-
D.
Bannwaldsee
Bannwaldsee is a scenic lake in the Ostallgäu region of Bavaria, Germany, known for its natural surroundings and recreational opportunities.
-
E.
Beidersee
Beidersee is a village in the Saalekreis district of Saxony-Anhalt, Germany, that forms part of the town of Wettin-Löbejün.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc8add788190aed98bcbad518808 |
completed | April 20, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07145792608190857920fdaff261ef |
completed | May 15, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0714fcd0248190a93297332599f74d |
completed | May 15, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071542cf0c81908658008e0ee9fcbb |
completed | May 15, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:31 p.m.