Triple
T10848350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grosser Arber |
E256074
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Großer Arber |
E256074
|
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: Großer Arber | Statement: [Grosser Arber, alsoKnownAs, Großer Arber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Großer Arber Context triple: [Grosser Arber, alsoKnownAs, Großer Arber]
-
A.
Grosser Arber
chosen
Grosser Arber is a prominent mountain in the Bavarian Forest on the German-Czech border, known for its hiking, skiing, and panoramic views.
-
B.
Grossvenediger
Grossvenediger is one of the highest and most prominent glaciated mountains in Austria, located in the Venediger Group of the Central Eastern Alps.
-
C.
Watzmann
Watzmann is a prominent mountain massif in the Bavarian Alps, renowned for its striking peaks and dramatic presence above the town of Berchtesgaden.
-
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.
Birkkarspitze
Birkkarspitze is a prominent Alpine peak in the Karwendel range on the border of Austria and Germany, popular with experienced hikers and mountaineers.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75114ca988190a0e730131adb2df0 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7cc0d648190afb0ce80bac7f3dc |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.