Triple
T10083464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rixensart |
E213960
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Rosières
Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
|
E842885
|
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: Rosières | Statement: [Rixensart, contains, Rosières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosières Context triple: [Rixensart, contains, Rosières]
-
A.
Lignères
Lignères is a small commune in northern France located within the administrative area of the canton of Breteuil in the Eure department of Normandy.
-
B.
Moreuil
Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
-
C.
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
-
D.
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
-
E.
Lussy
Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
- 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: Rosières Triple: [Rixensart, contains, Rosières]
Generated description
Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosières Target entity description: Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
-
A.
Lignères
Lignères is a small commune in northern France located within the administrative area of the canton of Breteuil in the Eure department of Normandy.
-
B.
Moreuil
Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
-
C.
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
-
D.
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
-
E.
Lussy
Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbcc82988190903efb78d0a4ce81 |
completed | April 5, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_69d2cd242ed8819097895cb15cbb5d47 |
completed | April 5, 2026, 8:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2d1204f008190a9349c071c1e8d19 |
completed | April 5, 2026, 9:16 p.m. |
Created at: March 30, 2026, 9 p.m.