Triple
T10333624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harz district |
E242940
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ballenstedt
Ballenstedt is a historic town in the German state of Saxony-Anhalt, known for its castle and location on the northern edge of the Harz Mountains.
|
E862763
|
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: Ballenstedt | Statement: [Harz district, contains, Ballenstedt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ballenstedt Context triple: [Harz district, contains, Ballenstedt]
-
A.
Goldenstedt
Goldenstedt is a municipality in Lower Saxony, Germany, known for its rural character and location within the District of Vechta.
-
B.
Stedesdorf
Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
-
C.
Wolmirstedt
Wolmirstedt is a small town in the German state of Saxony-Anhalt, located near Magdeburg and known for its historical town center and regional administrative role.
-
D.
Zerbst
Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
-
E.
Oberwiederstedt
Oberwiederstedt is a village in Saxony-Anhalt, Germany, best known as the birthplace of the Romantic poet and philosopher Novalis.
- 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: Ballenstedt Triple: [Harz district, contains, Ballenstedt]
Generated description
Ballenstedt is a historic town in the German state of Saxony-Anhalt, known for its castle and location on the northern edge of the Harz Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ballenstedt Target entity description: Ballenstedt is a historic town in the German state of Saxony-Anhalt, known for its castle and location on the northern edge of the Harz Mountains.
-
A.
Goldenstedt
Goldenstedt is a municipality in Lower Saxony, Germany, known for its rural character and location within the District of Vechta.
-
B.
Stedesdorf
Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
-
C.
Wolmirstedt
Wolmirstedt is a small town in the German state of Saxony-Anhalt, located near Magdeburg and known for its historical town center and regional administrative role.
-
D.
Zerbst
Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
-
E.
Oberwiederstedt
Oberwiederstedt is a village in Saxony-Anhalt, Germany, best known as the birthplace of the Romantic poet and philosopher Novalis.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc366b481909c49f199892e9d42 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e5867188190913cc74bfb87a6b7 |
completed | April 10, 2026, 4:36 a.m. |
| NEDg | Description generation | batch_69d8837e70508190b03e8983b2617eac |
completed | April 10, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d889cc40648190a1d80b955e676ea5 |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 6, 2026, 11:53 a.m.