Triple
T9826818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schneeberg |
E238676
|
entity |
| Predicate | hasSummit |
P8024
|
FINISHED |
| Object |
Kaiserstein
Kaiserstein is a notable summit point on Austria’s Schneeberg massif, popular with hikers for its alpine views.
|
E822975
|
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: Kaiserstein | Statement: [Schneeberg, hasSummit, Kaiserstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaiserstein Context triple: [Schneeberg, hasSummit, Kaiserstein]
-
A.
Ziegelstein
Ziegelstein is a district in Nuremberg, Germany, known for its residential character and proximity to Nuremberg Airport.
-
B.
Plöckenstein
Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
-
C.
Störnstein
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
-
D.
Snekkersten
Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
-
E.
Taunusstein
Taunusstein is a town in the German state of Hesse, located in the scenic Taunus mountain region and known for its residential character and natural surroundings.
- 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: Kaiserstein Triple: [Schneeberg, hasSummit, Kaiserstein]
Generated description
Kaiserstein is a notable summit point on Austria’s Schneeberg massif, popular with hikers for its alpine views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaiserstein Target entity description: Kaiserstein is a notable summit point on Austria’s Schneeberg massif, popular with hikers for its alpine views.
-
A.
Ziegelstein
Ziegelstein is a district in Nuremberg, Germany, known for its residential character and proximity to Nuremberg Airport.
-
B.
Plöckenstein
Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
-
C.
Störnstein
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
-
D.
Snekkersten
Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
-
E.
Taunusstein
Taunusstein is a town in the German state of Hesse, located in the scenic Taunus mountain region and known for its residential character and natural surroundings.
- 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.