Triple
T19197259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lungau |
E470003
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mariapfarr
Mariapfarr is a picturesque municipality in the Lungau region of Salzburg, Austria, known for its alpine scenery and historic pilgrimage church.
|
E1362296
|
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: Mariapfarr | Statement: [Lungau, contains, Mariapfarr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariapfarr Context triple: [Lungau, contains, Mariapfarr]
-
A.
Pfarrkirchen
Pfarrkirchen is a small Bavarian town in southeastern Germany known as the administrative center of the Rottal-Inn district.
-
B.
Laakirchen
Laakirchen is a town in Upper Austria known for its industrial heritage, particularly in paper manufacturing, and its location within the scenic Salzkammergut region.
-
C.
Pfaffstätten
Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
-
D.
Frauenwörth
Frauenwörth is a small Bavarian island in Germany’s Chiemsee best known for its historic Benedictine convent and picturesque lakeside setting.
-
E.
Gumpoldskirchen
Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
- 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: Mariapfarr Triple: [Lungau, contains, Mariapfarr]
Generated description
Mariapfarr is a picturesque municipality in the Lungau region of Salzburg, Austria, known for its alpine scenery and historic pilgrimage church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mariapfarr Target entity description: Mariapfarr is a picturesque municipality in the Lungau region of Salzburg, Austria, known for its alpine scenery and historic pilgrimage church.
-
A.
Pfarrkirchen
Pfarrkirchen is a small Bavarian town in southeastern Germany known as the administrative center of the Rottal-Inn district.
-
B.
Laakirchen
Laakirchen is a town in Upper Austria known for its industrial heritage, particularly in paper manufacturing, and its location within the scenic Salzkammergut region.
-
C.
Pfaffstätten
Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
-
D.
Frauenwörth
Frauenwörth is a small Bavarian island in Germany’s Chiemsee best known for its historic Benedictine convent and picturesque lakeside setting.
-
E.
Gumpoldskirchen
Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a695cc8190b84a220f52c51dfc |
completed | April 20, 2026, 9:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8c2805c8190be95a283c7db864f |
completed | May 15, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_6a06f948932c8190a4ce08178c00b251 |
completed | May 15, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f9e1fb708190958c64fd38d32d04 |
completed | May 15, 2026, 10:48 a.m. |
Created at: April 10, 2026, 12:07 p.m.