Triple
T9540554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landshut (district) |
E230144
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hohenthann
Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
|
E807513
|
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: Hohenthann | Statement: [Landshut (district), contains, Hohenthann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohenthann Context triple: [Landshut (district), contains, Hohenthann]
-
A.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
B.
Weißenhorn
Weißenhorn is a historic small town in the Bavarian region of Swabia, Germany, known for its well-preserved old town and traditional architecture.
-
C.
Schneeberg
Schneeberg is a prominent alpine mountain in eastern Austria, known as the easternmost two-thousander of the Alps and a popular destination for hiking and skiing.
-
D.
Wiesensteig
Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
-
E.
Herbertshöhe
Herbertshöhe was the administrative center of the German colonial territory of German New Guinea, located on the island of New Britain in the Bismarck Archipelago.
- 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: Hohenthann Triple: [Landshut (district), contains, Hohenthann]
Generated description
Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hohenthann Target entity description: Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
-
A.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
B.
Weißenhorn
Weißenhorn is a historic small town in the Bavarian region of Swabia, Germany, known for its well-preserved old town and traditional architecture.
-
C.
Schneeberg
Schneeberg is a prominent alpine mountain in eastern Austria, known as the easternmost two-thousander of the Alps and a popular destination for hiking and skiing.
-
D.
Wiesensteig
Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
-
E.
Herbertshöhe
Herbertshöhe was the administrative center of the German colonial territory of German New Guinea, located on the island of New Britain in the Bismarck Archipelago.
- 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_69d15278efd4819091e707aabd9a59d7 |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d153d59844819086a0f50e6a7624b2 |
completed | April 4, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1546a503c81908edc9588adabc172 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:01 p.m.