Triple
T21955113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louvain-la-Neuve |
E542166
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Lauzelle
Lauzelle is a district of the planned university town of Louvain-la-Neuve in Belgium, known for its residential areas and proximity to green spaces such as the Bois de Lauzelle.
|
E1510926
|
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: Lauzelle | Statement: [Louvain-la-Neuve, hasDistrict, Lauzelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauzelle Context triple: [Louvain-la-Neuve, hasDistrict, Lauzelle]
-
A.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
-
B.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
C.
Largeau
Largeau is the former name of Faya-Largeau, a key oasis town and administrative center in northern Chad’s Sahara Desert.
-
D.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
E.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
- 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: Lauzelle Triple: [Louvain-la-Neuve, hasDistrict, Lauzelle]
Generated description
Lauzelle is a district of the planned university town of Louvain-la-Neuve in Belgium, known for its residential areas and proximity to green spaces such as the Bois de Lauzelle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauzelle Target entity description: Lauzelle is a district of the planned university town of Louvain-la-Neuve in Belgium, known for its residential areas and proximity to green spaces such as the Bois de Lauzelle.
-
A.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
-
B.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
C.
Largeau
Largeau is the former name of Faya-Largeau, a key oasis town and administrative center in northern Chad’s Sahara Desert.
-
D.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
E.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243f46dc819097e4a1849af7fba4 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a670672b481908b92e15245212e64 |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a67c29848819080860f13b4c9697b |
completed | May 18, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a686a0f208190977890119ffcff79 |
completed | May 18, 2026, 1:16 a.m. |
Created at: April 16, 2026, 7:59 p.m.