Triple
T8017761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göppingen district |
E186661
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Wiesensteig
Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
|
E710133
|
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: Wiesensteig | Statement: [Göppingen district, containsMunicipality, Wiesensteig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiesensteig Context triple: [Göppingen district, containsMunicipality, Wiesensteig]
-
A.
Stechelberg
Stechelberg is a small Swiss village at the end of the Lauterbrunnen Valley, known for its dramatic alpine scenery and access to hiking and cable cars into the surrounding mountains.
-
B.
Brennkogel
Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
-
C.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
D.
Altensteig
Altensteig is a small historic town in the Black Forest region of Baden-Württemberg, Germany, known for its medieval old town and picturesque hillside setting.
-
E.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
- 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: Wiesensteig Triple: [Göppingen district, containsMunicipality, Wiesensteig]
Generated description
Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wiesensteig Target entity description: Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
-
A.
Stechelberg
Stechelberg is a small Swiss village at the end of the Lauterbrunnen Valley, known for its dramatic alpine scenery and access to hiking and cable cars into the surrounding mountains.
-
B.
Brennkogel
Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
-
C.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
D.
Altensteig
Altensteig is a small historic town in the Black Forest region of Baden-Württemberg, Germany, known for its medieval old town and picturesque hillside setting.
-
E.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df4f1b8819089a8b67f136bce9a |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c4937c8190999a156299299ab3 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc67e8eb78819093fde98c7b27a0c8 |
completed | April 1, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc6946aa5481908d682957b818a3e9 |
completed | April 1, 2026, 12:39 a.m. |
Created at: March 30, 2026, 5:20 p.m.