Triple
T9364418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Pfaffenhofen an der Ilm |
E225363
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Vohburg an der Donau
Vohburg an der Donau is a small Bavarian town on the Danube River in southern Germany.
|
E794732
|
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: Vohburg an der Donau | Statement: [district of Pfaffenhofen an der Ilm, hasMunicipality, Vohburg an der Donau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vohburg an der Donau Context triple: [district of Pfaffenhofen an der Ilm, hasMunicipality, Vohburg an der Donau]
-
A.
Vilshofen an der Donau
Vilshofen an der Donau is a Bavarian town on the Danube River known for its historic old town and role as a regional commercial and cultural center.
-
B.
Bad Vöslau
Bad Vöslau is a spa town in Lower Austria renowned for its mineral springs and wine production.
-
C.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
D.
Euerbach
Euerbach is a small municipality in the Schweinfurt district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
E.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
- 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: Vohburg an der Donau Triple: [district of Pfaffenhofen an der Ilm, hasMunicipality, Vohburg an der Donau]
Generated description
Vohburg an der Donau is a small Bavarian town on the Danube River in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vohburg an der Donau Target entity description: Vohburg an der Donau is a small Bavarian town on the Danube River in southern Germany.
-
A.
Vilshofen an der Donau
Vilshofen an der Donau is a Bavarian town on the Danube River known for its historic old town and role as a regional commercial and cultural center.
-
B.
Bad Vöslau
Bad Vöslau is a spa town in Lower Austria renowned for its mineral springs and wine production.
-
C.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
D.
Euerbach
Euerbach is a small municipality in the Schweinfurt district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
E.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503fd7f081909655e2a880c84834 |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3f3c420819084b65fd4537aaf93 |
completed | April 4, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69d0f619e91081909c2ec17e89376295 |
completed | April 4, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f6ce1a0c8190aca34958935e0e59 |
completed | April 4, 2026, 11:32 a.m. |
Created at: March 30, 2026, 7:42 p.m.