Triple
T8383397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obersalzberg |
E197751
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Platterhof
Platterhof was a large guesthouse and hotel complex on the Obersalzberg near Berchtesgaden, historically associated with the Nazi leadership’s mountain retreat.
|
E729947
|
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: Platterhof | Statement: [Obersalzberg, hasPart, Platterhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Platterhof Context triple: [Obersalzberg, hasPart, Platterhof]
-
A.
Almenhof
Almenhof is a residential district of Mannheim in the German state of Baden-Württemberg.
-
B.
Landhaus Graz
Landhaus Graz is a historic Renaissance-style palace in Graz, Austria, renowned for its arcaded courtyard and role as the seat of the Styrian provincial government.
-
C.
Langensalza
Langensalza is a historic town in Thuringia, central Germany, known for its spa facilities and as the site of several notable battles.
-
D.
Waidhaus
Waidhaus is a municipality in eastern Bavaria, Germany, near the Czech border, known as a key road border crossing and transport hub.
-
E.
Erbdrostenhof
Erbdrostenhof is an 18th-century Baroque palace in Münster, Germany, renowned for its ornate architecture and historical significance.
- 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: Platterhof Triple: [Obersalzberg, hasPart, Platterhof]
Generated description
Platterhof was a large guesthouse and hotel complex on the Obersalzberg near Berchtesgaden, historically associated with the Nazi leadership’s mountain retreat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Platterhof Target entity description: Platterhof was a large guesthouse and hotel complex on the Obersalzberg near Berchtesgaden, historically associated with the Nazi leadership’s mountain retreat.
-
A.
Almenhof
Almenhof is a residential district of Mannheim in the German state of Baden-Württemberg.
-
B.
Landhaus Graz
Landhaus Graz is a historic Renaissance-style palace in Graz, Austria, renowned for its arcaded courtyard and role as the seat of the Styrian provincial government.
-
C.
Langensalza
Langensalza is a historic town in Thuringia, central Germany, known for its spa facilities and as the site of several notable battles.
-
D.
Waidhaus
Waidhaus is a municipality in eastern Bavaria, Germany, near the Czech border, known as a key road border crossing and transport hub.
-
E.
Erbdrostenhof
Erbdrostenhof is an 18th-century Baroque palace in Münster, Germany, renowned for its ornate architecture and historical significance.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80ded0ec81909771482e1a015a67 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde826ebdc81909242805e48991e7d |
completed | April 2, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69cdebfafe84819097f387318897dae1 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cded2a9c2c8190bdbeddad562ef9e8 |
completed | April 2, 2026, 4:14 a.m. |
Created at: March 30, 2026, 6:02 p.m.