Triple
T7782629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saale-Holzland-Kreis |
E221559
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bürgel
Bürgel is a small town in the Saale-Holzland district of Thuringia in central Germany, known for its traditional ceramics.
|
E693403
|
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: Bürgel | Statement: [Saale-Holzland-Kreis, contains, Bürgel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bürgel Context triple: [Saale-Holzland-Kreis, contains, Bürgel]
-
A.
Burgberg
Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
-
B.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
C.
Mülbracht
Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
-
D.
Bultei
Bultei is a small municipality in the Logudoro region of central Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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: Bürgel Triple: [Saale-Holzland-Kreis, contains, Bürgel]
Generated description
Bürgel is a small town in the Saale-Holzland district of Thuringia in central Germany, known for its traditional ceramics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bürgel Target entity description: Bürgel is a small town in the Saale-Holzland district of Thuringia in central Germany, known for its traditional ceramics.
-
A.
Burgberg
Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
-
B.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
C.
Mülbracht
Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
-
D.
Bultei
Bultei is a small municipality in the Logudoro region of central Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cadf1f9c648190ac2b06d0d54035ea |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5e400d881909d6cdeb7eaac3a59 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ebde881909bd131da8987b449 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa013f348190a2067dee4a0c8c40 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:21 p.m.