Triple
T7239120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genthin |
E155308
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Friedensau
Friedensau is a small locality in the town of Genthin in Saxony-Anhalt, Germany, known for hosting the theological campus of Friedensau Adventist University.
|
E650808
|
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: Friedensau | Statement: [Genthin, hasSubdivision, Friedensau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friedensau Context triple: [Genthin, hasSubdivision, Friedensau]
-
A.
Friedenau
Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
-
B.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
-
C.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
D.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
E.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
- 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: Friedensau Triple: [Genthin, hasSubdivision, Friedensau]
Generated description
Friedensau is a small locality in the town of Genthin in Saxony-Anhalt, Germany, known for hosting the theological campus of Friedensau Adventist University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Friedensau Target entity description: Friedensau is a small locality in the town of Genthin in Saxony-Anhalt, Germany, known for hosting the theological campus of Friedensau Adventist University.
-
A.
Friedenau
Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
-
B.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
-
C.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
D.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
E.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea37fa9081908e9c3abe49d151e5 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc3d75b48190916bf327396f2666 |
completed | March 28, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69c7ce24f4148190877852983c9aadb5 |
completed | March 28, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ce9f73508190a2d1eb35237c3073 |
completed | March 28, 2026, 12:50 p.m. |
Created at: March 27, 2026, 2:55 p.m.