Triple
T11987683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albstadt |
E285322
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Burgfelden
Burgfelden is a village in the Swabian Jura region of Baden-Württemberg, Germany, now incorporated into the town of Albstadt.
|
E968956
|
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: Burgfelden | Statement: [Albstadt, formedByMergerOf, Burgfelden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgfelden Context triple: [Albstadt, formedByMergerOf, Burgfelden]
-
A.
Ruhmannsfelden
Ruhmannsfelden is a small market town in the Bavarian Forest region of southeastern Germany.
-
B.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
C.
Bielkenfeld
Bielkenfeld is a locality in the historical region of Prussia, known as the birthplace of the German field marshal and military writer Colmar Freiherr von der Goltz.
-
D.
Hakenfelde
Hakenfelde is a locality in the Berlin borough of Spandau, known for its residential areas, green spaces, and proximity to the Havel River.
-
E.
Kiefersfelden
Kiefersfelden is a Bavarian municipality near the Austrian border, known as a gateway to the Alps and a popular base for outdoor and cross-border travel.
- 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: Burgfelden Triple: [Albstadt, formedByMergerOf, Burgfelden]
Generated description
Burgfelden is a village in the Swabian Jura region of Baden-Württemberg, Germany, now incorporated into the town of Albstadt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burgfelden Target entity description: Burgfelden is a village in the Swabian Jura region of Baden-Württemberg, Germany, now incorporated into the town of Albstadt.
-
A.
Ruhmannsfelden
Ruhmannsfelden is a small market town in the Bavarian Forest region of southeastern Germany.
-
B.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
C.
Bielkenfeld
Bielkenfeld is a locality in the historical region of Prussia, known as the birthplace of the German field marshal and military writer Colmar Freiherr von der Goltz.
-
D.
Hakenfelde
Hakenfelde is a locality in the Berlin borough of Spandau, known for its residential areas, green spaces, and proximity to the Havel River.
-
E.
Kiefersfelden
Kiefersfelden is a Bavarian municipality near the Austrian border, known as a gateway to the Alps and a popular base for outdoor and cross-border travel.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a5b024c81909e4ccfd7dec7edb3 |
completed | May 2, 2026, 2:29 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd1668881908f43d895fcfba0aa |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:46 p.m.