Triple
T19841135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitzbühel District |
E476730
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hochfilzen
Hochfilzen is a village in the Austrian state of Tyrol best known as a major biathlon center and regular host of Biathlon World Cup events.
|
E1406636
|
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: Hochfilzen | Statement: [Kitzbühel District, contains, Hochfilzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hochfilzen Context triple: [Kitzbühel District, contains, Hochfilzen]
-
A.
Schönegg
Schönegg is a lower mountain station area in the Swiss canton of Zug, serving as an access point to the Zugerberg region.
-
B.
St. Gilgen
St. Gilgen is a picturesque Austrian village on the shores of Lake Wolfgang in the Salzkammergut region, known for its historic ties to the Mozart family and its alpine scenery.
-
C.
Hohenems
Hohenems is a small town in the Austrian state of Vorarlberg, known for its historic Jewish quarter and castle.
-
D.
Mittersill
Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
-
E.
Obernzell
Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
- 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: Hochfilzen Triple: [Kitzbühel District, contains, Hochfilzen]
Generated description
Hochfilzen is a village in the Austrian state of Tyrol best known as a major biathlon center and regular host of Biathlon World Cup events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hochfilzen Target entity description: Hochfilzen is a village in the Austrian state of Tyrol best known as a major biathlon center and regular host of Biathlon World Cup events.
-
A.
Schönegg
Schönegg is a lower mountain station area in the Swiss canton of Zug, serving as an access point to the Zugerberg region.
-
B.
St. Gilgen
St. Gilgen is a picturesque Austrian village on the shores of Lake Wolfgang in the Salzkammergut region, known for its historic ties to the Mozart family and its alpine scenery.
-
C.
Hohenems
Hohenems is a small town in the Austrian state of Vorarlberg, known for its historic Jewish quarter and castle.
-
D.
Mittersill
Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
-
E.
Obernzell
Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580576748190b85e234b01209ae7 |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e11c48081909366df335b984e19 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080ed8c5b481908f7991f376619997 |
completed | May 16, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f3edff481908781008206019093 |
completed | May 16, 2026, 6:31 a.m. |
Created at: April 10, 2026, 1:51 p.m.