Triple
T9010324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Günzburg |
E215451
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kötz
Kötz is a municipality in the district of Günzburg in the Bavarian region of Germany.
|
E772654
|
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: Kötz | Statement: [Landkreis Günzburg, contains, Kötz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kötz Context triple: [Landkreis Günzburg, contains, Kötz]
-
A.
Kölzig
Kölzig is the surname of former professional ice hockey goaltender Olie Kolzig, best known for his long NHL career with the Washington Capitals.
-
B.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
C.
Bad Kösen
Bad Kösen is a spa town in the German state of Saxony-Anhalt, known for its saline springs, historic graduation towers, and scenic location along the Saale River.
-
D.
Köstritz
Köstritz is a historic town in the German state of Thuringia, best known as the birthplace of composer Heinrich Schütz and for its long-standing brewing tradition.
-
E.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
- 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: Kötz Triple: [Landkreis Günzburg, contains, Kötz]
Generated description
Kötz is a municipality in the district of Günzburg in the Bavarian region of Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kötz Target entity description: Kötz is a municipality in the district of Günzburg in the Bavarian region of Germany.
-
A.
Kölzig
Kölzig is the surname of former professional ice hockey goaltender Olie Kolzig, best known for his long NHL career with the Washington Capitals.
-
B.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
C.
Bad Kösen
Bad Kösen is a spa town in the German state of Saxony-Anhalt, known for its saline springs, historic graduation towers, and scenic location along the Saale River.
-
D.
Köstritz
Köstritz is a historic town in the German state of Thuringia, best known as the birthplace of composer Heinrich Schütz and for its long-standing brewing tradition.
-
E.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
- 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_69cc69c00ae8819090786385a72e8baf |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9dca848190952427bb5712081f |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc5b230881908057cc868e44ea44 |
completed | April 3, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdcfc28288190b849b3f0216a7e9a |
completed | April 3, 2026, 3:30 p.m. |
Created at: March 30, 2026, 7:06 p.m.