Triple
T8862530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wettin-Löbejün |
E210926
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Farnstädt
Farnstädt is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
|
E762238
|
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: Farnstädt | Statement: [Wettin-Löbejün, hasPart, Farnstädt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farnstädt Context triple: [Wettin-Löbejün, hasPart, Farnstädt]
-
A.
Fraustadt
Fraustadt is a historic town in western Poland, known today as Wschowa, that was the site of a major Swedish victory over Saxon and Russian forces during the Great Northern War.
-
B.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
C.
Ramstedt
Ramstedt is a Finnish surname most notably borne by linguist and diplomat Gustaf John Ramstedt, known for his pioneering work in Altaic and Mongolic studies.
-
D.
Biebrich
Biebrich is a district of Wiesbaden in the German state of Hesse, historically known as an independent town on the Rhine and the site of the Baroque Biebrich Palace.
-
E.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
- 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: Farnstädt Triple: [Wettin-Löbejün, hasPart, Farnstädt]
Generated description
Farnstädt is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farnstädt Target entity description: Farnstädt is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
-
A.
Fraustadt
Fraustadt is a historic town in western Poland, known today as Wschowa, that was the site of a major Swedish victory over Saxon and Russian forces during the Great Northern War.
-
B.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
C.
Ramstedt
Ramstedt is a Finnish surname most notably borne by linguist and diplomat Gustaf John Ramstedt, known for his pioneering work in Altaic and Mongolic studies.
-
D.
Biebrich
Biebrich is a district of Wiesbaden in the German state of Hesse, historically known as an independent town on the Rhine and the site of the Baroque Biebrich Palace.
-
E.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610263048190931bb2c3ac573a08 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0c248108190815d593f44029183 |
completed | April 3, 2026, 11:13 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, 6:50 p.m.