Triple
T19765248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tux |
E474736
|
entity |
| Predicate | hasValley |
P650
|
FINISHED |
| Object |
Tuxertal
Tuxertal is a scenic alpine valley in the Austrian Tyrol, known for its year-round skiing and access to the Hintertux Glacier.
|
E1395589
|
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: Tuxertal | Statement: [Tux, hasValley, Tuxertal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuxertal Context triple: [Tux, hasValley, Tuxertal]
-
A.
Klostertal
Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
-
B.
Kammeltal
Kammeltal is a municipality in the Bavarian region of Swabia in southern Germany.
-
C.
Löstertal
Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
-
D.
Stanzertal
Stanzertal is an alpine valley in the Austrian state of Tyrol, known for its scenic landscapes and proximity to major ski resorts such as St. Anton am Arlberg.
-
E.
Lautertal
Lautertal is a municipality in the Bavarian region of Germany, situated within the Coburg district.
- 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: Tuxertal Triple: [Tux, hasValley, Tuxertal]
Generated description
Tuxertal is a scenic alpine valley in the Austrian Tyrol, known for its year-round skiing and access to the Hintertux Glacier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuxertal Target entity description: Tuxertal is a scenic alpine valley in the Austrian Tyrol, known for its year-round skiing and access to the Hintertux Glacier.
-
A.
Klostertal
Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
-
B.
Kammeltal
Kammeltal is a municipality in the Bavarian region of Swabia in southern Germany.
-
C.
Löstertal
Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
-
D.
Stanzertal
Stanzertal is an alpine valley in the Austrian state of Tyrol, known for its scenic landscapes and proximity to major ski resorts such as St. Anton am Arlberg.
-
E.
Lautertal
Lautertal is a municipality in the Bavarian region of Germany, situated within the Coburg district.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653226af081909992ff5568bb54a5 |
completed | April 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4f1000481909efe0d10869596ed |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c5e352ac819082cf01c4ba9ed8cb |
completed | May 16, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c73b731881909c8abaeb541e34f9 |
completed | May 16, 2026, 1:24 a.m. |
Created at: April 10, 2026, 1:48 p.m.