Triple
T8848403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naumburg |
E210567
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Großjena
Großjena is a village and district of the town of Naumburg in the German state of Saxony-Anhalt, known for its location in the Saale-Unstrut wine-growing region.
|
E762099
|
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: Großjena | Statement: [Naumburg, hasSubdivision, Großjena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Großjena Context triple: [Naumburg, hasSubdivision, Großjena]
-
A.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
B.
Frohnhausen
Frohnhausen is a district (Ortsteil) of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
C.
Korbach
Korbach is a historic town in the German state of Hesse, known as the district seat of Waldeck-Frankenberg and for its well-preserved medieval old town.
-
D.
Genthin
Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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: Großjena Triple: [Naumburg, hasSubdivision, Großjena]
Generated description
Großjena is a village and district of the town of Naumburg in the German state of Saxony-Anhalt, known for its location in the Saale-Unstrut wine-growing region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Großjena Target entity description: Großjena is a village and district of the town of Naumburg in the German state of Saxony-Anhalt, known for its location in the Saale-Unstrut wine-growing region.
-
A.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
-
B.
Frohnhausen
Frohnhausen is a district (Ortsteil) of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
C.
Korbach
Korbach is a historic town in the German state of Hesse, known as the district seat of Waldeck-Frankenberg and for its well-preserved medieval old town.
-
D.
Genthin
Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60aa6db0819097c3257499200afc |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa07ad12c81908de0502706ad4019 |
completed | April 3, 2026, 11:11 a.m. |
| NEDg | Description generation | batch_69cfa1714b4081909035c9b15c82c1be |
completed | April 3, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa24be80481909e2b575f99cd1dc4 |
completed | April 3, 2026, 11:19 a.m. |
Created at: March 30, 2026, 6:49 p.m.