Triple
T21016798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauenstein-Ifenthal |
E517698
|
entity |
| Predicate | neighbouringMunicipality |
P33892
|
FINISHED |
| Object |
Kienberg
Kienberg is a small municipality in the canton of Solothurn in northwestern Switzerland, known for its rural setting near the Jura Mountains.
|
E1462561
|
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: Kienberg | Statement: [Hauenstein-Ifenthal, neighbouringMunicipality, Kienberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kienberg Context triple: [Hauenstein-Ifenthal, neighbouringMunicipality, Kienberg]
-
A.
Kienberg
Kienberg is a small settlement located in the Rupertiwinkel region of southeastern Bavaria, Germany.
-
B.
Kohnstein
Kohnstein is a hill in Thuringia, Germany, whose tunnels were used by the Nazis during World War II to house the Mittelwerk underground factory for V-2 rocket production.
-
C.
Kneiff
Kneiff is the highest natural point in Luxembourg, located in the northern Ardennes region near the town of Troisvierges.
-
D.
Reitberg
Reitberg is a locality or settlement that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
-
E.
Mönchberg
Mönchberg is a district or neighborhood within the town of Herrenberg in the German state of Baden-Württemberg.
- 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: Kienberg Triple: [Hauenstein-Ifenthal, neighbouringMunicipality, Kienberg]
Generated description
Kienberg is a small municipality in the canton of Solothurn in northwestern Switzerland, known for its rural setting near the Jura Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kienberg Target entity description: Kienberg is a small municipality in the canton of Solothurn in northwestern Switzerland, known for its rural setting near the Jura Mountains.
-
A.
Kienberg
Kienberg is a small settlement located in the Rupertiwinkel region of southeastern Bavaria, Germany.
-
B.
Kohnstein
Kohnstein is a hill in Thuringia, Germany, whose tunnels were used by the Nazis during World War II to house the Mittelwerk underground factory for V-2 rocket production.
-
C.
Kneiff
Kneiff is the highest natural point in Luxembourg, located in the northern Ardennes region near the town of Troisvierges.
-
D.
Reitberg
Reitberg is a locality or settlement that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
-
E.
Mönchberg
Mönchberg is a district or neighborhood within the town of Herrenberg in the German state of Baden-Württemberg.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5968c081909ae6407199858aba |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b6544ec8190baa55bb07941a231 |
completed | May 17, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a093f659a7c8190a10c41821dafacc4 |
completed | May 17, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0940e3b7988190b5400d16211aefcc |
completed | May 17, 2026, 4:15 a.m. |
Created at: April 16, 2026, 1:54 p.m.