Triple
T9010338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Günzburg |
E215451
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kammeltal
Kammeltal is a municipality in the Bavarian region of Swabia in southern Germany.
|
E783616
|
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: Kammeltal | Statement: [Landkreis Günzburg, contains, Kammeltal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kammeltal Context triple: [Landkreis Günzburg, contains, Kammeltal]
-
A.
Klostertal
Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
-
B.
Schuttertal
Schuttertal is a rural municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenaukreis district and known for its scenic valleys and Black Forest landscapes.
-
C.
Gorxheimertal
Gorxheimertal is a small municipality in the Bergstraße district of Hesse, Germany, situated in a scenic valley on the edge of the Odenwald.
-
D.
Löstertal
Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
-
E.
Valsertal
Valsertal is a scenic alpine valley in the Swiss canton of Graubünden, known for its mountainous landscapes and the village of Vals.
- 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: Kammeltal Triple: [Landkreis Günzburg, contains, Kammeltal]
Generated description
Kammeltal is a municipality in the Bavarian region of Swabia in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kammeltal Target entity description: Kammeltal is a municipality in the Bavarian region of Swabia in southern Germany.
-
A.
Klostertal
Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
-
B.
Schuttertal
Schuttertal is a rural municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenaukreis district and known for its scenic valleys and Black Forest landscapes.
-
C.
Gorxheimertal
Gorxheimertal is a small municipality in the Bergstraße district of Hesse, Germany, situated in a scenic valley on the edge of the Odenwald.
-
D.
Löstertal
Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
-
E.
Valsertal
Valsertal is a scenic alpine valley in the Swiss canton of Graubünden, known for its mountainous landscapes and the village of Vals.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c1571881908d0b144786b5ee1f |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05be6550081908d42bbae3c00cae3 |
completed | April 4, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_69d05cb45280819096747ff8f7d5c2a0 |
completed | April 4, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05d5d29f4819081c28b24cb2058b0 |
completed | April 4, 2026, 12:37 a.m. |
Created at: March 30, 2026, 7:06 p.m.