Triple
T318149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bavaria |
E7752
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Zugspitze
Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
|
E41130
|
NE FINISHED |
How this triple was built (4 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: [Bavaria, hasHighestPoint, Zugspitze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zugspitze Context triple: [Bavaria, hasHighestPoint, Zugspitze]
-
A.
Grossglockner
Grossglockner is the tallest mountain in Austria and a prominent peak of the Hohe Tauern range in the Central Eastern Alps.
-
B.
Monte Rosa
Monte Rosa is a prominent massif in the Pennine Alps on the border between Switzerland and Italy, known for being the second-highest mountain in the Alps and Western Europe.
-
C.
Mont Blanc
Mont Blanc is the tallest mountain in the Alps and Western Europe, straddling the border between France and Italy and renowned for mountaineering and skiing.
-
D.
Mount Elbrus
Mount Elbrus is a dormant stratovolcano in the Caucasus Mountains of Russia and the highest peak on the European continent.
-
E.
Bernese Alps
The Bernese Alps are a prominent mountain range in Switzerland known for their towering peaks, extensive glaciers, and famous tourist destinations such as Jungfrau and Eiger.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zugspitze Triple: [Bavaria, hasHighestPoint, Zugspitze]
Generated description
Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zugspitze Target entity description: Zugspitze is the highest mountain in Germany, located in the Bavarian Alps near the Austrian border.
-
A.
Grossglockner
Grossglockner is the tallest mountain in Austria and a prominent peak of the Hohe Tauern range in the Central Eastern Alps.
-
B.
Monte Rosa
Monte Rosa is a prominent massif in the Pennine Alps on the border between Switzerland and Italy, known for being the second-highest mountain in the Alps and Western Europe.
-
C.
Mont Blanc
Mont Blanc is the tallest mountain in the Alps and Western Europe, straddling the border between France and Italy and renowned for mountaineering and skiing.
-
D.
Mount Elbrus
Mount Elbrus is a dormant stratovolcano in the Caucasus Mountains of Russia and the highest peak on the European continent.
-
E.
Bernese Alps
The Bernese Alps are a prominent mountain range in Switzerland known for their towering peaks, extensive glaciers, and famous tourist destinations such as Jungfrau and Eiger.
- F. None of above. chosen
Provenance (5 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea67b7588190be394a56498758b6 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8ba3304819099db7b60f2c83c8b |
completed | March 1, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69a3c93ce2308190b2df5c939691a2ce |
completed | March 1, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ca020b7081909b54e311c173ef21 |
completed | March 1, 2026, 5:09 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.