Triple
T645857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann Hoth |
E11239
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Neuruppin
Neuruppin is a historic town in Brandenburg, Germany, known as the birthplace of writer Theodor Fontane and several notable Prussian and German military figures.
|
E91762
|
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: Neuruppin | Statement: [Hermann Hoth, placeOfBirth, Neuruppin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuruppin Context triple: [Hermann Hoth, placeOfBirth, Neuruppin]
-
A.
Ilkenau
Ilkenau is the historical German name for the Polish town of Olkusz, located in southern Poland.
-
B.
Starnberg
Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
-
C.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
D.
Borsigwalde
Borsigwalde is a residential locality in the Berlin borough of Reinickendorf, known for its industrial heritage linked to the Borsig engineering works.
-
E.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
- 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: Neuruppin Triple: [Hermann Hoth, placeOfBirth, Neuruppin]
Generated description
Neuruppin is a historic town in Brandenburg, Germany, known as the birthplace of writer Theodor Fontane and several notable Prussian and German military figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neuruppin Target entity description: Neuruppin is a historic town in Brandenburg, Germany, known as the birthplace of writer Theodor Fontane and several notable Prussian and German military figures.
-
A.
Ilkenau
Ilkenau is the historical German name for the Polish town of Olkusz, located in southern Poland.
-
B.
Starnberg
Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
-
C.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
D.
Borsigwalde
Borsigwalde is a residential locality in the Berlin borough of Reinickendorf, known for its industrial heritage linked to the Borsig engineering works.
-
E.
Plauen
Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f1b24b08190897d8aedb877bd83 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66d8cd1e481908b77e4db0b6681bf |
completed | March 3, 2026, 5:11 a.m. |
| NEDg | Description generation | batch_69a66e16c7bc8190a6aea054bac99c4c |
completed | March 3, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a66e7dd53c8190bdb3768abd80ba8d |
completed | March 3, 2026, 5:15 a.m. |
Created at: March 1, 2026, 7:36 p.m.