Triple
T19391574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostalbkreis |
E485080
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Lauchheim
Lauchheim is a small town in the eastern part of Baden-Württemberg, Germany, known for its historic center and location along the Jagst River.
|
E1410896
|
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: Lauchheim | Statement: [Ostalbkreis, containsMunicipality, Lauchheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauchheim Context triple: [Ostalbkreis, containsMunicipality, Lauchheim]
-
A.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
-
B.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
C.
Herzogenaurach
Herzogenaurach is a Bavarian town in Germany best known as the birthplace and headquarters of the global sportswear brands Adidas and Puma.
-
D.
Lauingen
Lauingen is a historic Bavarian town in southern Germany, best known as the birthplace of the medieval scholar and philosopher Albert the Great.
-
E.
Schönteichen
Schönteichen is a small municipality in the Free State of Saxony in eastern 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: Lauchheim Triple: [Ostalbkreis, containsMunicipality, Lauchheim]
Generated description
Lauchheim is a small town in the eastern part of Baden-Württemberg, Germany, known for its historic center and location along the Jagst River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauchheim Target entity description: Lauchheim is a small town in the eastern part of Baden-Württemberg, Germany, known for its historic center and location along the Jagst River.
-
A.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
-
B.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
C.
Herzogenaurach
Herzogenaurach is a Bavarian town in Germany best known as the birthplace and headquarters of the global sportswear brands Adidas and Puma.
-
D.
Lauingen
Lauingen is a historic Bavarian town in southern Germany, best known as the birthplace of the medieval scholar and philosopher Albert the Great.
-
E.
Schönteichen
Schönteichen is a small municipality in the Free State of Saxony in eastern 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b45caec81909dafdf66b361effd |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0826f137a88190ad9961718b77d0c3 |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a0827c6a68c8190aed2d531b4fd2030 |
completed | May 16, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08288d98fc8190a146f43a027682f0 |
completed | May 16, 2026, 8:19 a.m. |
Created at: April 10, 2026, 1:36 p.m.