Triple
T8600813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Biberach |
E203668
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Kirchdorf an der Iller
Kirchdorf an der Iller is a small municipality in the German state of Baden-Württemberg, situated along the Iller River.
|
E746615
|
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: Kirchdorf an der Iller | Statement: [Landkreis Biberach, hasMunicipality, Kirchdorf an der Iller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirchdorf an der Iller Context triple: [Landkreis Biberach, hasMunicipality, Kirchdorf an der Iller]
-
A.
Dietenheim an der Iller
Dietenheim an der Iller is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, situated on the Iller River near the city of Ulm.
-
B.
Kirchlindach
Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
-
C.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
-
D.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
E.
Aschering
Aschering is a village-level subdivision of the municipality of Pöcking in Bavaria, 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: Kirchdorf an der Iller Triple: [Landkreis Biberach, hasMunicipality, Kirchdorf an der Iller]
Generated description
Kirchdorf an der Iller is a small municipality in the German state of Baden-Württemberg, situated along the Iller River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirchdorf an der Iller Target entity description: Kirchdorf an der Iller is a small municipality in the German state of Baden-Württemberg, situated along the Iller River.
-
A.
Dietenheim an der Iller
Dietenheim an der Iller is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, situated on the Iller River near the city of Ulm.
-
B.
Kirchlindach
Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
-
C.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
-
D.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
E.
Aschering
Aschering is a village-level subdivision of the municipality of Pöcking in Bavaria, 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46d8ff408190acc7cd8dc99b2689 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbb11140819081bde8a1565aad4a |
completed | April 2, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69cebda8e7f4819083b6885f874554f1 |
completed | April 2, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebe5df4888190bf741e332af3e21e |
completed | April 2, 2026, 7:07 p.m. |
Created at: March 30, 2026, 6:24 p.m.