Triple
T4990846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sölden |
E112124
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Hochsölden
Hochsölden is a small alpine ski resort village in the Austrian Tyrol, known for its high-altitude slopes and direct access to the larger Sölden ski area.
|
E486564
|
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: Hochsölden | Statement: [Sölden, locatedNear, Hochsölden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hochsölden Context triple: [Sölden, locatedNear, Hochsölden]
-
A.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
B.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
C.
Ettersberg
Ettersberg is a hill and surrounding area near Weimar in Thuringia, Germany, historically known as the site of the Buchenwald concentration camp.
-
D.
Aegidienberg
Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
-
E.
Staffelberg
Staffelberg is a prominent table mountain in Upper Franconia, Germany, known for its scenic views, archaeological sites, and cultural significance in the surrounding region.
- 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: Hochsölden Triple: [Sölden, locatedNear, Hochsölden]
Generated description
Hochsölden is a small alpine ski resort village in the Austrian Tyrol, known for its high-altitude slopes and direct access to the larger Sölden ski area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hochsölden Target entity description: Hochsölden is a small alpine ski resort village in the Austrian Tyrol, known for its high-altitude slopes and direct access to the larger Sölden ski area.
-
A.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
B.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
C.
Ettersberg
Ettersberg is a hill and surrounding area near Weimar in Thuringia, Germany, historically known as the site of the Buchenwald concentration camp.
-
D.
Aegidienberg
Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
-
E.
Staffelberg
Staffelberg is a prominent table mountain in Upper Franconia, Germany, known for its scenic views, archaeological sites, and cultural significance in the surrounding region.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd728141d48190a0713e6d33c50fb6 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92521bcc8190a1c485216f885778 |
completed | March 21, 2026, 12:42 p.m. |
| NEDg | Description generation | batch_69be942dac9c8190a5861ca0aaa44c90 |
completed | March 21, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be94a7e15481908f17feafb593b97b |
completed | March 21, 2026, 12:52 p.m. |
Created at: March 20, 2026, 1:34 p.m.