Triple
T17207991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandberg Mountain |
E417650
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Königstein
Königstein is the highest peak of Namibia’s Brandberg Mountain massif and the country’s tallest point, renowned for its rugged granite terrain and panoramic desert views.
|
E1272306
|
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: Königstein | Statement: [Brandberg Mountain, hasPeak, Königstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Königstein Context triple: [Brandberg Mountain, hasPeak, Königstein]
-
A.
Königstein
Königstein is a small historic town in Saxon Switzerland, eastern Germany, best known for the imposing Königstein Fortress overlooking the Elbe River.
-
B.
Münchberg
Münchberg is a town in the Upper Franconia region of Bavaria, Germany, known historically for its textile industry and as a local commercial center.
-
C.
Meißenheim
Meißenheim is a small municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine River.
-
D.
Königswartha
Königswartha is a small municipality in the Upper Lusatia region of Saxony in eastern Germany.
-
E.
Katharinenfeld
Katharinenfeld was the historical German settler colony that later became the town of Bolnisi in southern Georgia.
- 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: Königstein Triple: [Brandberg Mountain, hasPeak, Königstein]
Generated description
Königstein is the highest peak of Namibia’s Brandberg Mountain massif and the country’s tallest point, renowned for its rugged granite terrain and panoramic desert views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Königstein Target entity description: Königstein is the highest peak of Namibia’s Brandberg Mountain massif and the country’s tallest point, renowned for its rugged granite terrain and panoramic desert views.
-
A.
Königstein
Königstein is a small historic town in Saxon Switzerland, eastern Germany, best known for the imposing Königstein Fortress overlooking the Elbe River.
-
B.
Münchberg
Münchberg is a town in the Upper Franconia region of Bavaria, Germany, known historically for its textile industry and as a local commercial center.
-
C.
Meißenheim
Meißenheim is a small municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine River.
-
D.
Königswartha
Königswartha is a small municipality in the Upper Lusatia region of Saxony in eastern Germany.
-
E.
Katharinenfeld
Katharinenfeld was the historical German settler colony that later became the town of Bolnisi in southern Georgia.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc283648190b2c1f957940024aa |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c1e78d788190adb16779da468a3d |
completed | May 11, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_6a01c3881f6081908f13c4033933b252 |
completed | May 11, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c41859008190b786bdc2c09f24d1 |
completed | May 11, 2026, 11:57 a.m. |
Created at: April 10, 2026, 5:38 a.m.