Triple
T20659839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallein District |
E507730
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Hallein |
—
|
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: Hallein | Statement: [Hallein District, administrativeCenter, Hallein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hallein Context triple: [Hallein District, administrativeCenter, Hallein]
-
A.
Hallein
chosen
Hallein is a historic town in the Austrian state of Salzburg, known for its former salt mines and picturesque location along the Salzach River.
-
B.
Hilpoltstein
Hilpoltstein is a historic town in Bavaria, Germany, known for its medieval castle ruins and picturesque old town.
-
C.
Hermagor
Hermagor is a small town in the Austrian state of Carinthia, known as a regional center for tourism and outdoor activities in the Gailtal Alps.
-
D.
Kißlegg
Kißlegg is a small town in the Ravensburg district of Baden-Württemberg, Germany, known for its historic castles and location in the scenic Allgäu region.
-
E.
Aigen
Aigen is a district of Salzburg, Austria, known for its villas, green spaces, and proximity to the Gaisberg mountain.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eff7a88190be0bdea227616e02 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.