Triple
T9826830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schneeberg |
E238676
|
entity |
| Predicate | hasMountainHut |
P15807
|
FINISHED |
| Object |
Waxriegelhaus
Waxriegelhaus is a mountain hut and popular base for hikers and climbers on the Schneeberg massif in Lower Austria.
|
E822981
|
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: Waxriegelhaus | Statement: [Schneeberg, hasMountainHut, Waxriegelhaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waxriegelhaus Context triple: [Schneeberg, hasMountainHut, Waxriegelhaus]
-
A.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
-
B.
Waidhaus
Waidhaus is a municipality in eastern Bavaria, Germany, near the Czech border, known as a key road border crossing and transport hub.
-
C.
Wildhaus
Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
-
D.
Ruckelshaus
Ruckelshaus is the surname of William D. Ruckelshaus, a prominent American lawyer and public official best known as the first head of the U.S. Environmental Protection Agency and a key figure in the Watergate-era "Saturday Night Massacre."
-
E.
Zeughaus
Zeughaus is Berlin’s historic former arsenal on Unter den Linden, now housing the German Historical Museum.
- 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: Waxriegelhaus Triple: [Schneeberg, hasMountainHut, Waxriegelhaus]
Generated description
Waxriegelhaus is a mountain hut and popular base for hikers and climbers on the Schneeberg massif in Lower Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waxriegelhaus Target entity description: Waxriegelhaus is a mountain hut and popular base for hikers and climbers on the Schneeberg massif in Lower Austria.
-
A.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
-
B.
Waidhaus
Waidhaus is a municipality in eastern Bavaria, Germany, near the Czech border, known as a key road border crossing and transport hub.
-
C.
Wildhaus
Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
-
D.
Ruckelshaus
Ruckelshaus is the surname of William D. Ruckelshaus, a prominent American lawyer and public official best known as the first head of the U.S. Environmental Protection Agency and a key figure in the Watergate-era "Saturday Night Massacre."
-
E.
Zeughaus
Zeughaus is Berlin’s historic former arsenal on Unter den Linden, now housing the German Historical Museum.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb324e7848190b9424a78ca653afe |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc88a86c819088f259a049eec4db |
completed | April 5, 2026, 2:44 a.m. |
| NEDg | Description generation | batch_69d1cdba64d08190bf0b83d419c4461b |
completed | April 5, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ce526a2c819098b103ad83c19445 |
completed | April 5, 2026, 2:52 a.m. |
Created at: March 30, 2026, 8:32 p.m.