Triple
T10587232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulmbach district |
E249884
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Untersteinach
Untersteinach is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and proximity to the town of Kulmbach.
|
E899893
|
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: Untersteinach | Statement: [Kulmbach district, hasMunicipality, Untersteinach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Untersteinach Context triple: [Kulmbach district, hasMunicipality, Untersteinach]
-
A.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
-
B.
Untergriesbach
Untergriesbach is a market town in Lower Bavaria, Germany, situated near the Danube River close to the Austrian border.
-
C.
Obersüßbach
Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
-
D.
Günterstalbach
Günterstalbach is a small stream in the Black Forest region of Germany that flows through the district of Günterstal before joining the river Breg.
-
E.
Kirchlindach
Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
- 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: Untersteinach Triple: [Kulmbach district, hasMunicipality, Untersteinach]
Generated description
Untersteinach is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and proximity to the town of Kulmbach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Untersteinach Target entity description: Untersteinach is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and proximity to the town of Kulmbach.
-
A.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
-
B.
Untergriesbach
Untergriesbach is a market town in Lower Bavaria, Germany, situated near the Danube River close to the Austrian border.
-
C.
Obersüßbach
Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
-
D.
Günterstalbach
Günterstalbach is a small stream in the Black Forest region of Germany that flows through the district of Günterstal before joining the river Breg.
-
E.
Kirchlindach
Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5276b0ae48190b2935230363239e0 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37382a0bc81908938b3cbdf0528e0 |
completed | April 18, 2026, 12:05 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 6, 2026, 12:39 p.m.