Triple
T9540588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straubing-Bogen |
E230145
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Geiselhöring
Geiselhöring is a small town in Lower Bavaria, Germany, known for its rural character and location within the Straubing-Bogen district.
|
E821422
|
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: Geiselhöring | Statement: [Straubing-Bogen, contains, Geiselhöring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geiselhöring Context triple: [Straubing-Bogen, contains, Geiselhöring]
-
A.
Hörsching
Hörsching is a municipality in Upper Austria, best known for hosting Linz Airport and lying near the city of Linz.
-
B.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
C.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
D.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
E.
Öhningen
Öhningen is a municipality in southern Germany located on the western end of Lake Constance near the Swiss border, known for its scenic setting and prehistoric pile-dwelling sites.
- 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: Geiselhöring Triple: [Straubing-Bogen, contains, Geiselhöring]
Generated description
Geiselhöring is a small town in Lower Bavaria, Germany, known for its rural character and location within the Straubing-Bogen district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geiselhöring Target entity description: Geiselhöring is a small town in Lower Bavaria, Germany, known for its rural character and location within the Straubing-Bogen district.
-
A.
Hörsching
Hörsching is a municipality in Upper Austria, best known for hosting Linz Airport and lying near the city of Linz.
-
B.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
C.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
D.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
E.
Öhningen
Öhningen is a municipality in southern Germany located on the western end of Lake Constance near the Swiss border, known for its scenic setting and prehistoric pile-dwelling sites.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c3fa50388190bf2a1fbb50c6e0c0 |
completed | April 5, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_69d1c4eb7a0481908bbd72f6d28d4746 |
completed | April 5, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c5c0e6e88190bbf6eb379e6d1aa3 |
completed | April 5, 2026, 2:15 a.m. |
Created at: March 30, 2026, 8:01 p.m.