Triple
T15812557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemish Ardennes |
E383389
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Leberg
Leberg is a well-known steep hill in the Flemish Ardennes of Belgium, frequently featured as a challenging climb in professional cycling races.
|
E1177865
|
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: Leberg | Statement: [Flemish Ardennes, contains, Leberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leberg Context triple: [Flemish Ardennes, contains, Leberg]
-
A.
Lemberg
Lemberg is a small commune in northeastern France’s Moselle department, situated in the forested, hilly region known as the Pays de Bitche near the German border.
-
B.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
C.
Reichenberg
Reichenberg is the former German name for the city of Liberec, a major urban center in the northern Czech Republic near the border with Germany and Poland.
-
D.
Neubukow
Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
-
E.
Kasendorf
Kasendorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and scenic 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: Leberg Triple: [Flemish Ardennes, contains, Leberg]
Generated description
Leberg is a well-known steep hill in the Flemish Ardennes of Belgium, frequently featured as a challenging climb in professional cycling races.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leberg Target entity description: Leberg is a well-known steep hill in the Flemish Ardennes of Belgium, frequently featured as a challenging climb in professional cycling races.
-
A.
Lemberg
Lemberg is a small commune in northeastern France’s Moselle department, situated in the forested, hilly region known as the Pays de Bitche near the German border.
-
B.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
C.
Reichenberg
Reichenberg is the former German name for the city of Liberec, a major urban center in the northern Czech Republic near the border with Germany and Poland.
-
D.
Neubukow
Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
-
E.
Kasendorf
Kasendorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and scenic 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a069bc8190bf9504dc6c998fa2 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9993c86c8190b1d106af7537080a |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a32d6bc81909d8023de562a2517 |
completed | May 9, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9adb25448190b805046ae6c3ee17 |
completed | May 9, 2026, 8:36 p.m. |
Created at: April 10, 2026, 4:49 a.m.