Triple
T5439147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konrad Lorenz |
E122086
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object |
Seewiesen
Seewiesen is a research locality in Bavaria, Germany, best known for its ornithological and behavioral science institutes associated with Konrad Lorenz and other pioneering ethologists.
|
E526692
|
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: Seewiesen | Statement: [Konrad Lorenz, workLocation, Seewiesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seewiesen Context triple: [Konrad Lorenz, workLocation, Seewiesen]
-
A.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
B.
Appenweier
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
C.
Wollerau
Wollerau is an affluent municipality on the shores of Lake Zurich in the Swiss canton of Schwyz, known for its low taxes and as a residence of several wealthy individuals.
-
D.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
E.
Oberengstringen
Oberengstringen is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
- 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: Seewiesen Triple: [Konrad Lorenz, workLocation, Seewiesen]
Generated description
Seewiesen is a research locality in Bavaria, Germany, best known for its ornithological and behavioral science institutes associated with Konrad Lorenz and other pioneering ethologists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seewiesen Target entity description: Seewiesen is a research locality in Bavaria, Germany, best known for its ornithological and behavioral science institutes associated with Konrad Lorenz and other pioneering ethologists.
-
A.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
B.
Appenweier
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
C.
Wollerau
Wollerau is an affluent municipality on the shores of Lake Zurich in the Swiss canton of Schwyz, known for its low taxes and as a residence of several wealthy individuals.
-
D.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
E.
Oberengstringen
Oberengstringen is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91be61dc819087f4a77bdc5ff382 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc60964c08190bcb128946e121bc9 |
completed | March 22, 2026, 10:35 a.m. |
| NEDg | Description generation | batch_69bfc66e471c8190988fee5cd7fead5f |
completed | March 22, 2026, 10:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfc6c607b88190818e5a607313cc40 |
completed | March 22, 2026, 10:39 a.m. |
Created at: March 20, 2026, 2:07 p.m.