Triple
T20168573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großvenediger |
E491892
|
entity |
| Predicate | nearestMajorValley |
P63251
|
FINISHED |
| Object |
Obersulzbachtal
Obersulzbachtal is a high Alpine valley in the Austrian Hohe Tauern region, known for its glaciers, waterfalls, and popular hiking routes.
|
E1414400
|
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: Obersulzbachtal | Statement: [Großvenediger, nearestMajorValley, Obersulzbachtal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obersulzbachtal Context triple: [Großvenediger, nearestMajorValley, Obersulzbachtal]
-
A.
Fischbachtal
Fischbachtal is a small municipality in southern Hesse, Germany, known for its rural landscape and the historic Lichtenberg Castle.
-
B.
Haselbachtal
Haselbachtal is a municipality in the German state of Saxony, known for its rural character and location within the Bautzen district.
-
C.
Sulztal
Sulztal is a mountain valley in the Stubai Alps of Tyrol, Austria, known for its alpine landscapes and hiking routes.
-
D.
Urbachtal
Urbachtal is a remote alpine valley in the Bernese Oberland region of Switzerland, known for its rugged mountain scenery and hiking routes.
-
E.
Lesachtal
Lesachtal is a remote alpine municipality in the Austrian state of Carinthia, known for its unspoiled mountain landscapes and traditional rural culture.
- 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: Obersulzbachtal Triple: [Großvenediger, nearestMajorValley, Obersulzbachtal]
Generated description
Obersulzbachtal is a high Alpine valley in the Austrian Hohe Tauern region, known for its glaciers, waterfalls, and popular hiking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Obersulzbachtal Target entity description: Obersulzbachtal is a high Alpine valley in the Austrian Hohe Tauern region, known for its glaciers, waterfalls, and popular hiking routes.
-
A.
Fischbachtal
Fischbachtal is a small municipality in southern Hesse, Germany, known for its rural landscape and the historic Lichtenberg Castle.
-
B.
Haselbachtal
Haselbachtal is a municipality in the German state of Saxony, known for its rural character and location within the Bautzen district.
-
C.
Sulztal
Sulztal is a mountain valley in the Stubai Alps of Tyrol, Austria, known for its alpine landscapes and hiking routes.
-
D.
Urbachtal
Urbachtal is a remote alpine valley in the Bernese Oberland region of Switzerland, known for its rugged mountain scenery and hiking routes.
-
E.
Lesachtal
Lesachtal is a remote alpine municipality in the Austrian state of Carinthia, known for its unspoiled mountain landscapes and traditional rural culture.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66845cb588190820c50eea0c40d83 |
completed | April 20, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083482950c8190aff6eb232ebbdd79 |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08354678488190a04794496edc4333 |
completed | May 16, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08360def9c8190b8a2d48814ee13c8 |
completed | May 16, 2026, 9:17 a.m. |
Created at: April 11, 2026, 11:35 p.m.