Triple
T6289881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ixelles |
E140988
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
Elsene
Elsene is a vibrant, multicultural municipality of Brussels in Belgium, known for its universities, art scene, and lively urban neighborhoods.
|
E581141
|
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: Elsene | Statement: [Ixelles, nativeName, Elsene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsene Context triple: [Ixelles, nativeName, Elsene]
-
A.
La Hulpe
La Hulpe is a small, affluent municipality in Walloon Brabant, Belgium, known for its green surroundings and the Château de La Hulpe within the Solvay Regional Estate.
-
B.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
-
C.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
D.
Boudry
Boudry is a municipality in the canton of Neuchâtel in western Switzerland, known as a historic town near Lake Neuchâtel.
-
E.
Drimmelen
Drimmelen is a municipality and village in the southern Netherlands, known for its historic harbor and as a gateway to the Biesbosch National Park.
- 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: Elsene Triple: [Ixelles, nativeName, Elsene]
Generated description
Elsene is a vibrant, multicultural municipality of Brussels in Belgium, known for its universities, art scene, and lively urban neighborhoods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elsene Target entity description: Elsene is a vibrant, multicultural municipality of Brussels in Belgium, known for its universities, art scene, and lively urban neighborhoods.
-
A.
La Hulpe
La Hulpe is a small, affluent municipality in Walloon Brabant, Belgium, known for its green surroundings and the Château de La Hulpe within the Solvay Regional Estate.
-
B.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
-
C.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
D.
Boudry
Boudry is a municipality in the canton of Neuchâtel in western Switzerland, known as a historic town near Lake Neuchâtel.
-
E.
Drimmelen
Drimmelen is a municipality and village in the southern Netherlands, known for its historic harbor and as a gateway to the Biesbosch National Park.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641a6ecc8190a63be0e3f0344a3f |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519794a9481909a72a8dcdfaf41f8 |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51ad3d61c819087905cee97b73a40 |
completed | March 26, 2026, 11:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51b840e6481908d84c50e40db296e |
completed | March 26, 2026, 11:41 a.m. |
Created at: March 22, 2026, 4:26 p.m.