Triple
T11804507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgangsee |
E280709
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Schafberg |
E941447
|
NE FINISHED |
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: Schafberg | Statement: [Wolfgangsee, hasViewOf, Schafberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schafberg Context triple: [Wolfgangsee, hasViewOf, Schafberg]
-
A.
Schafberg
chosen
Schafberg is a prominent mountain in the Salzkammergut region of Austria, known for its panoramic views over nearby lakes and its historic cog railway to the summit.
-
B.
Schrankogel
Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
-
C.
Grosser Arber
Grosser Arber is a prominent mountain in the Bavarian Forest on the German-Czech border, known for its hiking, skiing, and panoramic views.
-
D.
Oberkotzau
Oberkotzau is a market town in the Bavarian region of Upper Franconia in Germany, known for its location near the city of Hof and the Saale River.
-
E.
Wendelstein mountain
Wendelstein mountain is a prominent peak in the Bavarian Alps of southern Germany, known for its panoramic views, observatory, and historic cogwheel railway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1314300248190847b9c61bbfda121 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.