Triple
T12796848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreuzlingen |
E305911
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Bottighofen
Bottighofen is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
|
E1033968
|
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: Bottighofen | Statement: [Kreuzlingen, hasNeighbouringMunicipality, Bottighofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bottighofen Context triple: [Kreuzlingen, hasNeighbouringMunicipality, Bottighofen]
-
A.
Reichertshofen
Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
-
B.
Odelshofen
Odelshofen is a village and district (Ortsteil) of the town of Kehl in the state of Baden-Württemberg, Germany.
-
C.
Schlagenhofen
Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
-
D.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
E.
Schwabniederhofen
Schwabniederhofen is a small municipality located in the Weilheim-Schongau district 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: Bottighofen Triple: [Kreuzlingen, hasNeighbouringMunicipality, Bottighofen]
Generated description
Bottighofen is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bottighofen Target entity description: Bottighofen is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
-
A.
Reichertshofen
Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
-
B.
Odelshofen
Odelshofen is a village and district (Ortsteil) of the town of Kehl in the state of Baden-Württemberg, Germany.
-
C.
Schlagenhofen
Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
-
D.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
E.
Schwabniederhofen
Schwabniederhofen is a small municipality located in the Weilheim-Schongau district 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6db68481909a2ca8da1287f3e0 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716b3d28881908053df1928b18264 |
completed | May 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69f71af8d8c08190ae3fbc9767d783f5 |
completed | May 3, 2026, 9:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71b6dcc588190aa9274969f18b0ef |
completed | May 3, 2026, 9:54 a.m. |
Created at: April 9, 2026, 5:30 p.m.