Triple
T23135202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treuchtlingen |
E577295
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Dietfurt
Dietfurt is a small locality that forms part of the town of Treuchtlingen in the Bavarian region of Germany.
|
E1574567
|
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: Dietfurt | Statement: [Treuchtlingen, hasSubdivision, Dietfurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dietfurt Context triple: [Treuchtlingen, hasSubdivision, Dietfurt]
-
A.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
B.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
-
C.
Dietingen
Dietingen is a locality that forms one of the subdivisions of the municipality of Blaustein in the German state of Baden-Württemberg.
-
D.
Dietingen
Dietingen is a municipality in the German state of Baden-Württemberg, located in the Zollernalbkreis region.
-
E.
Isarvorstadt
Isarvorstadt is a vibrant central district of Munich, Germany, known for its lively cultural scene, nightlife, and historic urban character.
- 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: Dietfurt Triple: [Treuchtlingen, hasSubdivision, Dietfurt]
Generated description
Dietfurt is a small locality that forms part of the town of Treuchtlingen in the Bavarian region of Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dietfurt Target entity description: Dietfurt is a small locality that forms part of the town of Treuchtlingen in the Bavarian region of Germany.
-
A.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
B.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
-
C.
Dietingen
Dietingen is a locality that forms one of the subdivisions of the municipality of Blaustein in the German state of Baden-Württemberg.
-
D.
Dietingen
Dietingen is a municipality in the German state of Baden-Württemberg, located in the Zollernalbkreis region.
-
E.
Isarvorstadt
Isarvorstadt is a vibrant central district of Munich, Germany, known for its lively cultural scene, nightlife, and historic urban character.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8b694c8190b9ead00ea0576d90 |
completed | April 29, 2026, 4:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c308901088190a3dd91561a5c123f |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c3468ecf48190ae05d776b6b472c6 |
completed | May 19, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c34b344248190a6f1b34dede10db1 |
completed | May 19, 2026, 10 a.m. |
Created at: April 17, 2026, 4 p.m.