Triple
T18480813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untersbergbahn |
E451550
|
entity |
| Predicate | mountainServed |
P112645
|
FINISHED |
| Object | Untersberg |
—
|
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: Untersberg | Statement: [Untersbergbahn, mountainServed, Untersberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Untersberg Context triple: [Untersbergbahn, mountainServed, Untersberg]
-
A.
Untersberg
chosen
Untersberg is a prominent limestone massif in the Berchtesgaden Alps on the border between Austria and Germany, known for its extensive cave systems, hiking routes, and panoramic views.
-
B.
Ellnora
Ellnora is a feminine given name most notably borne by American philanthropist Ellnora Decker Krannert, a major benefactor of arts and education.
-
C.
Hecla
Hecla is a small city located in Brown County in northeastern South Dakota, United States.
-
D.
Otzberg
Otzberg is a small municipality in the German state of Hesse, known for its historic Veste Otzberg hilltop castle and rural surroundings.
-
E.
Varsberg
Varsberg is a small commune in the Moselle department of northeastern France, situated near the town of Creutzwald.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d3d13c81909c52d797360b840a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.