Triple
T22713046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germans in Hungary |
E561651
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object |
Swabian Turkey
Swabian Turkey is a historical region in southern Hungary known for its significant settlement of German-speaking (Danube Swabian) communities.
|
E1551170
|
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: Swabian Turkey | Statement: [Germans in Hungary, historicalRegion, Swabian Turkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swabian Turkey Context triple: [Germans in Hungary, historicalRegion, Swabian Turkey]
-
A.
Krostitz
Krostitz is a small municipality in the German state of Saxony, situated north of Leipzig and known for its regional brewery.
-
B.
Böhmisch Aicha
Böhmisch Aicha is a historical town in the Bohemian region of Central Europe, now known as Česká Lípa in the Czech Republic.
-
C.
Ketsch
Ketsch is a municipality in the Rhine-Neckar region of southwestern Germany, located in the state of Baden-Württemberg.
-
D.
Kökten
Kökten is an archaeologist known for conducting excavations at the ancient Anatolian site of Kaneš (Kültepe) in modern-day Turkey.
-
E.
Obergurig
Obergurig is a small municipality in the Upper Lusatia region of Saxony in eastern Germany.
- 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: Swabian Turkey Triple: [Germans in Hungary, historicalRegion, Swabian Turkey]
Generated description
Swabian Turkey is a historical region in southern Hungary known for its significant settlement of German-speaking (Danube Swabian) communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swabian Turkey Target entity description: Swabian Turkey is a historical region in southern Hungary known for its significant settlement of German-speaking (Danube Swabian) communities.
-
A.
Krostitz
Krostitz is a small municipality in the German state of Saxony, situated north of Leipzig and known for its regional brewery.
-
B.
Böhmisch Aicha
Böhmisch Aicha is a historical town in the Bohemian region of Central Europe, now known as Česká Lípa in the Czech Republic.
-
C.
Ketsch
Ketsch is a municipality in the Rhine-Neckar region of southwestern Germany, located in the state of Baden-Württemberg.
-
D.
Kökten
Kökten is an archaeologist known for conducting excavations at the ancient Anatolian site of Kaneš (Kültepe) in modern-day Turkey.
-
E.
Obergurig
Obergurig is a small municipality in the Upper Lusatia region of Saxony in eastern Germany.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ab6208190a342f076002324ab |
completed | April 29, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7edb9a2c8190aefff02fd998edc2 |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b834f488c8190bee40bd1caea0e40 |
completed | May 18, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b8717b65c819089d29c1802d1ed55 |
completed | May 18, 2026, 9:39 p.m. |
Created at: April 17, 2026, 3:18 p.m.