Triple
T22831134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bussnang |
E565802
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Oberbussnang
Oberbussnang is a locality within the municipality of Bussnang in the canton of Thurgau, Switzerland.
|
E1559782
|
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: Oberbussnang | Statement: [Bussnang, hasSubdivision, Oberbussnang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberbussnang Context triple: [Bussnang, hasSubdivision, Oberbussnang]
-
A.
Obernzenn
Obernzenn is a rural municipality in the Franconian region of northern Bavaria, Germany, known for its agricultural landscape and small-village character.
-
B.
Obernberg am Inn
Obernberg am Inn is a market town in Upper Austria situated on the River Inn near the German border, known for its historic architecture and regional trade significance.
-
C.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
D.
Kößlarn
Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
-
E.
Oberweier
Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
- 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: Oberbussnang Triple: [Bussnang, hasSubdivision, Oberbussnang]
Generated description
Oberbussnang is a locality within the municipality of Bussnang in the canton of Thurgau, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberbussnang Target entity description: Oberbussnang is a locality within the municipality of Bussnang in the canton of Thurgau, Switzerland.
-
A.
Obernzenn
Obernzenn is a rural municipality in the Franconian region of northern Bavaria, Germany, known for its agricultural landscape and small-village character.
-
B.
Obernberg am Inn
Obernberg am Inn is a market town in Upper Austria situated on the River Inn near the German border, known for its historic architecture and regional trade significance.
-
C.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
D.
Kößlarn
Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
-
E.
Oberweier
Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2bcad8819091f237fd2273a20c |
completed | April 29, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9b004d48190b2e6ce9f62059448 |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb38da508190bc1d9bc8538cdbe2 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc1bd0808190a0a5f8f603308b45 |
completed | May 19, 2026, 1:25 a.m. |
Created at: April 17, 2026, 3:34 p.m.