Triple
T10117900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont des Arts |
E223208
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Kunstberg
Kunstberg is a historic cultural complex and urban site in central Brussels, Belgium, known for its museums, gardens, and panoramic views over the city.
|
E842296
|
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: Kunstberg | Statement: [Mont des Arts, originalName, Kunstberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kunstberg Context triple: [Mont des Arts, originalName, Kunstberg]
-
A.
Witzmannsberg
Witzmannsberg is a small rural municipality in the Bavarian region of Lower Bavaria, Germany, known for its scenic countryside and traditional village character.
-
B.
Festungsberg
Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
-
C.
Vogelsberg
Vogelsberg is a large volcanic mountain range in the German state of Hesse, known for its forested highlands and rural landscapes.
-
D.
Köterberg
Köterberg is a prominent hill in northern Germany known for its panoramic views and popularity among hikers and motorcyclists.
-
E.
Aegidienberg
Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
- 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: Kunstberg Triple: [Mont des Arts, originalName, Kunstberg]
Generated description
Kunstberg is a historic cultural complex and urban site in central Brussels, Belgium, known for its museums, gardens, and panoramic views over the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kunstberg Target entity description: Kunstberg is a historic cultural complex and urban site in central Brussels, Belgium, known for its museums, gardens, and panoramic views over the city.
-
A.
Witzmannsberg
Witzmannsberg is a small rural municipality in the Bavarian region of Lower Bavaria, Germany, known for its scenic countryside and traditional village character.
-
B.
Festungsberg
Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
-
C.
Vogelsberg
Vogelsberg is a large volcanic mountain range in the German state of Hesse, known for its forested highlands and rural landscapes.
-
D.
Köterberg
Köterberg is a prominent hill in northern Germany known for its panoramic views and popularity among hikers and motorcyclists.
-
E.
Aegidienberg
Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd26317948190901197adbac01ed3 |
completed | April 2, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc350310819096cca4cc251e3428 |
completed | April 5, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69d2cd8f0a688190a437b7e2d158c70c |
completed | April 5, 2026, 9:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce422e4c8190b54b94cdfa0c4c98 |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:04 p.m.