Triple
T4670862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stubai Alps |
E102957
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Schrankogel
Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
|
E472029
|
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: Schrankogel | Statement: [Stubai Alps, hasPeak, Schrankogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schrankogel Context triple: [Stubai Alps, hasPeak, Schrankogel]
-
A.
Brennkogel
Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
-
B.
Kitzsteinhorn
Kitzsteinhorn is a prominent Alpine mountain in the Austrian state of Salzburg, known for its glacier ski area and panoramic views.
-
C.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
D.
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.
-
E.
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.
- 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: Schrankogel Triple: [Stubai Alps, hasPeak, Schrankogel]
Generated description
Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schrankogel Target entity description: Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
-
A.
Brennkogel
Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
-
B.
Kitzsteinhorn
Kitzsteinhorn is a prominent Alpine mountain in the Austrian state of Salzburg, known for its glacier ski area and panoramic views.
-
C.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
D.
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.
-
E.
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.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63506090819083ff8271adc5ef75 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d76e8cc81908d1ef5a60edab64c |
completed | March 21, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69be4e4d3d608190837c5808f2f17aa4 |
completed | March 21, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4f0d51ac819097636aaf2429f317 |
completed | March 21, 2026, 7:55 a.m. |
Created at: March 20, 2026, 1:15 p.m.