Triple
T21007611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grödig |
E517452
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Wals-Siezenheim |
—
|
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: Wals-Siezenheim | Statement: [Grödig, hasNeighbour, Wals-Siezenheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wals-Siezenheim Context triple: [Grödig, hasNeighbour, Wals-Siezenheim]
-
A.
Wals-Siezenheim
chosen
Wals-Siezenheim is a municipality in the Austrian state of Salzburg, known for its proximity to the city of Salzburg and for hosting the Red Bull Arena football stadium.
-
B.
Zwiesel
Zwiesel is a prominent mountain in the Bavarian Alps of southeastern Germany, known for its scenic hiking routes and panoramic views over the Bad Reichenhall area.
-
C.
Zwiesel
Zwiesel is a small Bavarian town in southeastern Germany known for its glassmaking tradition and its location on the edge of the Bavarian Forest.
-
D.
Schönteichen
Schönteichen is a small municipality in the Free State of Saxony in eastern Germany.
-
E.
Wörth an der Isar
Wörth an der Isar is a small municipality in Lower Bavaria, Germany, situated on the river Isar and characterized by its rural setting and proximity to the city of Landshut.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3cc8648190b1a419ef734a69e6 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.