Triple
T12402282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Luxembourg |
E296286
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Bertrange
Bertrange is a suburban commune in south-central Luxembourg known for its residential areas, shopping facilities, and proximity to Luxembourg City.
|
E1015144
|
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: Bertrange | Statement: [Canton of Luxembourg, containsAdministrativeTerritorialEntity, Bertrange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertrange Context triple: [Canton of Luxembourg, containsAdministrativeTerritorialEntity, Bertrange]
-
A.
Bertrange
Bertrange is a commune in northeastern France located in the Moselle department within the Grand Est region.
-
B.
Cartigny
Cartigny is a small rural municipality in western Switzerland known for its agricultural landscape and location within the canton of Geneva.
-
C.
Bonvillars
Bonvillars is a small Swiss municipality in the canton of Vaud, known for its vineyards and location near Lake Neuchâtel.
-
D.
Libercourt
Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
-
E.
Sarreguemines
Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
- 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: Bertrange Triple: [Canton of Luxembourg, containsAdministrativeTerritorialEntity, Bertrange]
Generated description
Bertrange is a suburban commune in south-central Luxembourg known for its residential areas, shopping facilities, and proximity to Luxembourg City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bertrange Target entity description: Bertrange is a suburban commune in south-central Luxembourg known for its residential areas, shopping facilities, and proximity to Luxembourg City.
-
A.
Bertrange
Bertrange is a commune in northeastern France located in the Moselle department within the Grand Est region.
-
B.
Cartigny
Cartigny is a small rural municipality in western Switzerland known for its agricultural landscape and location within the canton of Geneva.
-
C.
Bonvillars
Bonvillars is a small Swiss municipality in the canton of Vaud, known for its vineyards and location near Lake Neuchâtel.
-
D.
Libercourt
Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
-
E.
Sarreguemines
Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0d6947c819080d33199d331724c |
completed | May 3, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69f6c277e6248190870b3bf9869716a7 |
completed | May 3, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c38bc0b08190b76cb0853d99ad82 |
completed | May 3, 2026, 3:39 a.m. |
Created at: April 8, 2026, 9:55 p.m.