Triple
T20466091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamsweg District |
E502052
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Mariapfarr |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Tamsweg District, hasSettlement, Mariapfarr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariapfarr Context triple: [Tamsweg District, hasSettlement, Mariapfarr]
-
A.
Mariapfarr
chosen
Mariapfarr is a picturesque municipality in the Lungau region of Salzburg, Austria, known for its alpine scenery and historic pilgrimage church.
-
B.
Pfarrkirchen
Pfarrkirchen is a small Bavarian town in southeastern Germany known as the administrative center of the Rottal-Inn district.
-
C.
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.
-
D.
Pfaffstätten
Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
-
E.
Frauenwörth
Frauenwörth is a small Bavarian island in Germany’s Chiemsee best known for its historic Benedictine convent and picturesque lakeside setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 11:33 a.m.