Triple
T12385505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erlangen-Höchstadt |
E295851
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Heroldsberg
Heroldsberg is a municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
|
E1011607
|
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: Heroldsberg | Statement: [Erlangen-Höchstadt, containsMunicipality, Heroldsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heroldsberg Context triple: [Erlangen-Höchstadt, containsMunicipality, Heroldsberg]
-
A.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
-
B.
Schramberg
Schramberg is a town in the Black Forest region of Baden-Württemberg, Germany, known for its historic clockmaking industry and picturesque valley setting.
-
C.
Geisenheim
Geisenheim is a German town in the Rheingau wine region, known for its viticulture, wine production, and renowned university of applied sciences for wine and horticulture.
-
D.
Sporkenheim
Sporkenheim is a district or locality within the town of Ingelheim am Rhein in Rhineland-Palatinate, Germany.
-
E.
Holthausen
Holthausen is a district of the German town of Hattingen in North Rhine-Westphalia.
- 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: Heroldsberg Triple: [Erlangen-Höchstadt, containsMunicipality, Heroldsberg]
Generated description
Heroldsberg is a municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heroldsberg Target entity description: Heroldsberg is a municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
-
A.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
-
B.
Schramberg
Schramberg is a town in the Black Forest region of Baden-Württemberg, Germany, known for its historic clockmaking industry and picturesque valley setting.
-
C.
Geisenheim
Geisenheim is a German town in the Rheingau wine region, known for its viticulture, wine production, and renowned university of applied sciences for wine and horticulture.
-
D.
Sporkenheim
Sporkenheim is a district or locality within the town of Ingelheim am Rhein in Rhineland-Palatinate, Germany.
-
E.
Holthausen
Holthausen is a district of the German town of Hattingen in North Rhine-Westphalia.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af41f6b88190ba3a0b4d531853d7 |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0653ef88190ad0e3a48675ecdcc |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1a539148190be7a4f16f738ca90 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:54 p.m.