Triple
T21719645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thal District |
E536120
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Laupersdorf |
—
|
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: Laupersdorf | Statement: [Thal District, containsSettlement, Laupersdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laupersdorf Context triple: [Thal District, containsSettlement, Laupersdorf]
-
A.
Laupersdorf
chosen
Laupersdorf is a municipality in the canton of Solothurn in Switzerland, situated in the Thal district amid the Jura Mountains.
-
B.
Seifhennersdorf
Seifhennersdorf is a small town in the Görlitz district of Saxony in eastern Germany, near the Czech border.
-
C.
Leobersdorf
Leobersdorf is a market town in Lower Austria known for its wine-growing tradition and location in the Baden district south of Vienna.
-
D.
Oberwaltersdorf
Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
-
E.
Kaiserebersdorf
Kaiserebersdorf is a neighborhood in Vienna, Austria, located within the district of Simmering and known for its mix of residential areas and industrial facilities.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96de818819084c268d4775a8e3a |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.