Triple
T2025204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Bavaria |
E44191
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Zugspitze |
E41130
|
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: Zugspitze | Statement: [Upper Bavaria, contains, Zugspitze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zugspitze Context triple: [Upper Bavaria, contains, Zugspitze]
-
A.
Zugspitze
chosen
Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
-
B.
Lenzspitze
Lenzspitze is a prominent high-altitude peak in the Swiss Pennine Alps, known for its sharp ridges and challenging alpine climbing routes.
-
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.
Schneeferner
Schneeferner is a small alpine glacier located on Germany’s highest mountain, the Zugspitze, and is one of the country’s last remaining glaciers.
-
E.
Wildspitze
Wildspitze is a prominent mountain in the Ötztal Alps of Tyrol, Austria, known as one of the country's highest and most popular alpine climbing peaks.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8f3faa08190a48ae1355d6e009f |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fead86c8190b3b247e88aad30f9 |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:38 p.m.