Triple
T9540736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelheim (district) |
E230148
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Kirchdorf
Kirchdorf is a small municipality in the Bavarian district of Kelheim in southern Germany.
|
E826306
|
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 | Statement: [Kelheim (district), containsMunicipality, Kirchdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirchdorf Context triple: [Kelheim (district), containsMunicipality, Kirchdorf]
-
A.
Kirchdorf im Wald
Kirchdorf im Wald is a small municipality in the Bavarian Forest region of southeastern Germany.
-
B.
Kirchdorf an der Iller
Kirchdorf an der Iller is a small municipality in the German state of Baden-Württemberg, situated along the Iller River.
-
C.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
D.
Schweitenkirchen
Schweitenkirchen is a municipality in Bavaria, Germany, situated in the district of Pfaffenhofen an der Ilm.
-
E.
Zirndorf
Zirndorf is a town in the Bavarian region of Germany, known for its proximity to Nuremberg and its mix of residential areas and light industry.
- 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 Triple: [Kelheim (district), containsMunicipality, Kirchdorf]
Generated description
Kirchdorf is a small municipality in the Bavarian district of Kelheim in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirchdorf Target entity description: Kirchdorf is a small municipality in the Bavarian district of Kelheim in southern Germany.
-
A.
Kirchdorf im Wald
Kirchdorf im Wald is a small municipality in the Bavarian Forest region of southeastern Germany.
-
B.
Kirchdorf an der Iller
Kirchdorf an der Iller is a small municipality in the German state of Baden-Württemberg, situated along the Iller River.
-
C.
Burkhardtsdorf
Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
-
D.
Schweitenkirchen
Schweitenkirchen is a municipality in Bavaria, Germany, situated in the district of Pfaffenhofen an der Ilm.
-
E.
Zirndorf
Zirndorf is a town in the Bavarian region of Germany, known for its proximity to Nuremberg and its mix of residential areas and light industry.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e3e92c4c819094cbd2661c425b7c |
completed | April 5, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69d1e49758f88190bb014eea3c68f0e0 |
completed | April 5, 2026, 4:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e4f21a688190bac558e82534e50f |
completed | April 5, 2026, 4:28 a.m. |
Created at: March 30, 2026, 8:01 p.m.