Triple
T20168571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großvenediger |
E491892
|
entity |
| Predicate | normalRouteFrom |
P32243
|
FINISHED |
| Object |
Defreggerhaus
Defreggerhaus is a high-altitude mountain hut in the Austrian Alps that serves as a key base for climbers ascending the Großvenediger.
|
E1414399
|
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: Defreggerhaus | Statement: [Großvenediger, normalRouteFrom, Defreggerhaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Defreggerhaus Context triple: [Großvenediger, normalRouteFrom, Defreggerhaus]
-
A.
Almenhof
Almenhof is a residential district of Mannheim in the German state of Baden-Württemberg.
-
B.
Damböckhaus
Damböckhaus is a mountain hut located on the slopes of the Schneeberg in Lower Austria, serving as a popular rest stop for hikers and mountaineers.
-
C.
Fischerhäuser
Fischerhäuser is a small locality that forms part of the municipality of Inning am Ammersee in Bavaria, Germany.
-
D.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
-
E.
Maison Kammerzell
Maison Kammerzell is a richly ornamented late Gothic and Renaissance timber-framed house in Strasbourg, France, renowned as one of the city’s most iconic historic buildings.
- 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: Defreggerhaus Triple: [Großvenediger, normalRouteFrom, Defreggerhaus]
Generated description
Defreggerhaus is a high-altitude mountain hut in the Austrian Alps that serves as a key base for climbers ascending the Großvenediger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Defreggerhaus Target entity description: Defreggerhaus is a high-altitude mountain hut in the Austrian Alps that serves as a key base for climbers ascending the Großvenediger.
-
A.
Almenhof
Almenhof is a residential district of Mannheim in the German state of Baden-Württemberg.
-
B.
Damböckhaus
Damböckhaus is a mountain hut located on the slopes of the Schneeberg in Lower Austria, serving as a popular rest stop for hikers and mountaineers.
-
C.
Fischerhäuser
Fischerhäuser is a small locality that forms part of the municipality of Inning am Ammersee in Bavaria, Germany.
-
D.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
-
E.
Maison Kammerzell
Maison Kammerzell is a richly ornamented late Gothic and Renaissance timber-framed house in Strasbourg, France, renowned as one of the city’s most iconic historic buildings.
- 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.