Triple
T9558346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achim |
E230602
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Thedinghausen
Thedinghausen is a municipality in Lower Saxony, Germany, known for its rural character and proximity to the city of Bremen.
|
E806481
|
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: Thedinghausen | Statement: [Achim, hasNeighboringMunicipality, Thedinghausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thedinghausen Context triple: [Achim, hasNeighboringMunicipality, Thedinghausen]
-
A.
Hohenfurch
Hohenfurch is a small Bavarian municipality in southern Germany, known for its rural character and scenic location near the Alps.
-
B.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
C.
Herrenhaus
Herrenhaus was the upper chamber of the Prussian parliament, functioning as the Prussian House of Lords in the Kingdom of Prussia.
-
D.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
-
E.
Marienthal
Marienthal is a district of the German city of Zwickau, known primarily as a residential area with local amenities and green spaces.
- 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: Thedinghausen Triple: [Achim, hasNeighboringMunicipality, Thedinghausen]
Generated description
Thedinghausen is a municipality in Lower Saxony, Germany, known for its rural character and proximity to the city of Bremen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thedinghausen Target entity description: Thedinghausen is a municipality in Lower Saxony, Germany, known for its rural character and proximity to the city of Bremen.
-
A.
Hohenfurch
Hohenfurch is a small Bavarian municipality in southern Germany, known for its rural character and scenic location near the Alps.
-
B.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
C.
Herrenhaus
Herrenhaus was the upper chamber of the Prussian parliament, functioning as the Prussian House of Lords in the Kingdom of Prussia.
-
D.
Kellenhusen
Kellenhusen is a seaside resort town on the Baltic Sea coast of northern Germany, known for its beaches and tourism.
-
E.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99487b4c819086e02e29e37b593f |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15296303c8190adda4b24036d9390 |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d1539bad8481909f9bd060aa3b651c |
completed | April 4, 2026, 6:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d154567f408190a848eea4ca905fb6 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:03 p.m.