Triple
T18182871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stubai Glacier |
E435334
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Wilden Grubn
Wilden Grubn is a ski run or sub-area located within the Stubai Glacier ski resort in the Austrian Alps.
|
E1310939
|
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: Wilden Grubn | Statement: [Stubai Glacier, hasPart, Wilden Grubn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilden Grubn Context triple: [Stubai Glacier, hasPart, Wilden Grubn]
-
A.
Grunnegs
Grunnegs is the local endonym for the Gronings dialect of Low Saxon spoken in the Dutch province of Groningen and surrounding areas.
-
B.
Krattigen
Krattigen is a Swiss municipality in the canton of Bern, known for its scenic location above Lake Thun in the Bernese Oberland.
-
C.
Saulgrub
Saulgrub is a small Bavarian municipality in southern Germany, situated in the alpine foothills and known for its rural character and scenic surroundings.
-
D.
Grobben
Grobben is a surname most notably associated with Karl Grobben, an Austrian zoologist known for his contributions to invertebrate taxonomy and evolutionary biology.
-
E.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
- 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: Wilden Grubn Triple: [Stubai Glacier, hasPart, Wilden Grubn]
Generated description
Wilden Grubn is a ski run or sub-area located within the Stubai Glacier ski resort in the Austrian Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilden Grubn Target entity description: Wilden Grubn is a ski run or sub-area located within the Stubai Glacier ski resort in the Austrian Alps.
-
A.
Grunnegs
Grunnegs is the local endonym for the Gronings dialect of Low Saxon spoken in the Dutch province of Groningen and surrounding areas.
-
B.
Krattigen
Krattigen is a Swiss municipality in the canton of Bern, known for its scenic location above Lake Thun in the Bernese Oberland.
-
C.
Saulgrub
Saulgrub is a small Bavarian municipality in southern Germany, situated in the alpine foothills and known for its rural character and scenic surroundings.
-
D.
Grobben
Grobben is a surname most notably associated with Karl Grobben, an Austrian zoologist known for his contributions to invertebrate taxonomy and evolutionary biology.
-
E.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffc432c8190af53da5256dc476c |
completed | April 19, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980112908190bbc5371ce2b8a028 |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0398dd1d50819087d16ad6f09ef063 |
completed | May 12, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03998369648190ae2e84ba56827473 |
completed | May 12, 2026, 9:20 p.m. |
Created at: April 10, 2026, 10:31 a.m.