Triple
T21035609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Öhningen |
E518180
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Gaienhofen
Gaienhofen is a municipality on the Höri peninsula by Lake Constance in Baden-Württemberg, Germany, known for its scenic lakeside setting and association with writer Hermann Hesse.
|
E1463546
|
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: Gaienhofen | Statement: [Öhningen, hasNeighbouringMunicipality, Gaienhofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaienhofen Context triple: [Öhningen, hasNeighbouringMunicipality, Gaienhofen]
-
A.
Neuhofen
Neuhofen is a locality that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
-
B.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
C.
Gerhardshofen
Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
-
D.
Attenhofen
Attenhofen is a small municipality in the Bavarian region of Germany, known for its rural character and local agriculture.
-
E.
Allmannshofen
Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
- 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: Gaienhofen Triple: [Öhningen, hasNeighbouringMunicipality, Gaienhofen]
Generated description
Gaienhofen is a municipality on the Höri peninsula by Lake Constance in Baden-Württemberg, Germany, known for its scenic lakeside setting and association with writer Hermann Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaienhofen Target entity description: Gaienhofen is a municipality on the Höri peninsula by Lake Constance in Baden-Württemberg, Germany, known for its scenic lakeside setting and association with writer Hermann Hesse.
-
A.
Neuhofen
Neuhofen is a locality that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
-
B.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
C.
Gerhardshofen
Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
-
D.
Attenhofen
Attenhofen is a small municipality in the Bavarian region of Germany, known for its rural character and local agriculture.
-
E.
Allmannshofen
Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc858d808190a8489aac801a4f51 |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09474c2ab48190af741ef36d0c334b |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a09487f34b8819092e72cc91c8f3ba2 |
completed | May 17, 2026, 4:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094921f1008190b5d1cb8afad547bd |
completed | May 17, 2026, 4:50 a.m. |
Created at: April 16, 2026, 2:02 p.m.