Triple
T19417037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinzgau |
E485747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Maishofen
Maishofen is a municipality in the Zell am See district of the Pinzgau region in the Austrian state of Salzburg, known for its alpine scenery and proximity to popular ski and lake destinations.
|
E1374972
|
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: Maishofen | Statement: [Pinzgau, contains, Maishofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maishofen Context triple: [Pinzgau, contains, Maishofen]
-
A.
Altishofen
Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
-
B.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
-
C.
Oschwand
Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
-
D.
Wiedlisbach
Wiedlisbach is a historic small town in the canton of Bern, Switzerland, known for its well-preserved medieval old town and former status as a fortified market settlement.
-
E.
Hochfelln
Hochfelln is a prominent mountain in the Bavarian Alps known for its panoramic views over the Chiemgau region and Lake Chiemsee.
- 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: Maishofen Triple: [Pinzgau, contains, Maishofen]
Generated description
Maishofen is a municipality in the Zell am See district of the Pinzgau region in the Austrian state of Salzburg, known for its alpine scenery and proximity to popular ski and lake destinations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maishofen Target entity description: Maishofen is a municipality in the Zell am See district of the Pinzgau region in the Austrian state of Salzburg, known for its alpine scenery and proximity to popular ski and lake destinations.
-
A.
Altishofen
Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
-
B.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
-
C.
Oschwand
Oschwand is a small locality in Switzerland known for its association with the Swiss painter Cuno Amiet, who lived and worked there.
-
D.
Wiedlisbach
Wiedlisbach is a historic small town in the canton of Bern, Switzerland, known for its well-preserved medieval old town and former status as a fortified market settlement.
-
E.
Hochfelln
Hochfelln is a prominent mountain in the Bavarian Alps known for its panoramic views over the Chiemgau region and Lake Chiemsee.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afad8d881908f1de6324e55d2f6 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733ce2e6081909e8baebf638747f1 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0734cfc2488190a488c40431a0b612 |
completed | May 15, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0735c38b7881908489916ff2f2883e |
completed | May 15, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.