Triple
T6324094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitzbühel Alps |
E141817
|
entity |
| Predicate | hasResort |
P4287
|
FINISHED |
| Object |
Westendorf
Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
|
E599212
|
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: Westendorf | Statement: [Kitzbühel Alps, hasResort, Westendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westendorf Context triple: [Kitzbühel Alps, hasResort, Westendorf]
-
A.
Offendorf
Offendorf is a small commune in northeastern France’s Alsace region, situated along the Rhine and known for its riverside setting and traditional village character.
-
B.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
-
C.
Suhrendorf
Suhrendorf is a small coastal village on the German Baltic Sea island of Ummanz, known for its rural charm and proximity to nature and water sports areas.
-
D.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
E.
Breckerfeld
Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
- 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: Westendorf Triple: [Kitzbühel Alps, hasResort, Westendorf]
Generated description
Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westendorf Target entity description: Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
-
A.
Offendorf
Offendorf is a small commune in northeastern France’s Alsace region, situated along the Rhine and known for its riverside setting and traditional village character.
-
B.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
-
C.
Suhrendorf
Suhrendorf is a small coastal village on the German Baltic Sea island of Ummanz, known for its rural charm and proximity to nature and water sports areas.
-
D.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
E.
Breckerfeld
Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e538ac81908c5d7556513c2bc3 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cafb3d4c8190a00e66839c3eaf01 |
completed | March 27, 2026, 6:22 p.m. |
| NEDg | Description generation | batch_69c6cc960e088190bd9643aa1c46128d |
completed | March 27, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cd4d50948190ac60ec518f00e5d8 |
completed | March 27, 2026, 6:32 p.m. |
Created at: March 22, 2026, 4:29 p.m.