Triple
T21166681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotenburg an der Fulda |
E521581
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Lispenhausen
Lispenhausen is a village and district of the town Rotenburg an der Fulda in the state of Hesse, Germany.
|
E1470232
|
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: Lispenhausen | Statement: [Rotenburg an der Fulda, hasSubdivision, Lispenhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lispenhausen Context triple: [Rotenburg an der Fulda, hasSubdivision, Lispenhausen]
-
A.
Ludwigslust
Ludwigslust is a small town in northern Germany known for its Baroque palace complex and landscaped park, which once served as a ducal residence.
-
B.
Schönhausen
Schönhausen is a village in Saxony-Anhalt, Germany, best known as the birthplace of 19th-century statesman Otto von Bismarck.
-
C.
Moritzburg
Moritzburg is a small Saxon town in eastern Germany, best known for its Baroque Moritzburg Castle and surrounding lakes and forests.
-
D.
Petershausen
Petershausen is a Bavarian municipality in southern Germany, located north of Munich and known for its rural character and good rail connections to the city.
-
E.
Persingen
Persingen is a small village in the Dutch province of Gelderland, often noted as one of the smallest villages in the Netherlands.
- 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: Lispenhausen Triple: [Rotenburg an der Fulda, hasSubdivision, Lispenhausen]
Generated description
Lispenhausen is a village and district of the town Rotenburg an der Fulda in the state of Hesse, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lispenhausen Target entity description: Lispenhausen is a village and district of the town Rotenburg an der Fulda in the state of Hesse, Germany.
-
A.
Ludwigslust
Ludwigslust is a small town in northern Germany known for its Baroque palace complex and landscaped park, which once served as a ducal residence.
-
B.
Schönhausen
Schönhausen is a village in Saxony-Anhalt, Germany, best known as the birthplace of 19th-century statesman Otto von Bismarck.
-
C.
Moritzburg
Moritzburg is a small Saxon town in eastern Germany, best known for its Baroque Moritzburg Castle and surrounding lakes and forests.
-
D.
Petershausen
Petershausen is a Bavarian municipality in southern Germany, located north of Munich and known for its rural character and good rail connections to the city.
-
E.
Persingen
Persingen is a small village in the Dutch province of Gelderland, often noted as one of the smallest villages in the Netherlands.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270fce708190a5715b55b406dd4e |
completed | April 21, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09756f7c248190ad324d3e3bcb9999 |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a097624dae881909408db5a6ca92f85 |
completed | May 17, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09779306208190bbfee4ca6cb705e8 |
completed | May 17, 2026, 8:08 a.m. |
Created at: April 16, 2026, 2:59 p.m.