Triple
T20466310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallwang |
E502057
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Siggerwiesen
Siggerwiesen is a locality within the municipality of Hallwang in the Austrian state of Salzburg.
|
E1433094
|
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: Siggerwiesen | Statement: [Hallwang, hasSubdivision, Siggerwiesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siggerwiesen Context triple: [Hallwang, hasSubdivision, Siggerwiesen]
-
A.
Buttenwiesen
Buttenwiesen is a municipality in the Bavarian region of Swabia in southern Germany, known for its rural character and location along the Danube River.
-
B.
Bischofswiesen
Bischofswiesen is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic mountain landscapes and proximity to Berchtesgaden.
-
C.
Pfaffenwinkel
Pfaffenwinkel is a picturesque region in Upper Bavaria, Germany, renowned for its numerous historic churches, monasteries, and scenic Alpine foothill landscapes.
-
D.
Seewiesen
Seewiesen is a research locality in Bavaria, Germany, best known for its ornithological and behavioral science institutes associated with Konrad Lorenz and other pioneering ethologists.
-
E.
Selgetsweiler
Selgetsweiler is a small village in the municipality of Hohenfels in the Konstanz district of Baden-Württemberg, 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: Siggerwiesen Triple: [Hallwang, hasSubdivision, Siggerwiesen]
Generated description
Siggerwiesen is a locality within the municipality of Hallwang in the Austrian state of Salzburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siggerwiesen Target entity description: Siggerwiesen is a locality within the municipality of Hallwang in the Austrian state of Salzburg.
-
A.
Buttenwiesen
Buttenwiesen is a municipality in the Bavarian region of Swabia in southern Germany, known for its rural character and location along the Danube River.
-
B.
Bischofswiesen
Bischofswiesen is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic mountain landscapes and proximity to Berchtesgaden.
-
C.
Pfaffenwinkel
Pfaffenwinkel is a picturesque region in Upper Bavaria, Germany, renowned for its numerous historic churches, monasteries, and scenic Alpine foothill landscapes.
-
D.
Seewiesen
Seewiesen is a research locality in Bavaria, Germany, best known for its ornithological and behavioral science institutes associated with Konrad Lorenz and other pioneering ethologists.
-
E.
Selgetsweiler
Selgetsweiler is a small village in the municipality of Hohenfels in the Konstanz district of Baden-Württemberg, 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696aa0794819082c9989b1f7e9f37 |
completed | April 20, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b188f208190a8cb7850c209f0de |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c8a61cc8190a6c1d4e09257ddfe |
completed | May 16, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088cf2bb688190b407b12013dd4aa0 |
completed | May 16, 2026, 3:27 p.m. |
Created at: April 16, 2026, 11:33 a.m.