Triple
T11817247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaux-sur-Sûre |
E281032
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Sainlez
Sainlez is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
|
E948114
|
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: Sainlez | Statement: [Vaux-sur-Sûre, hasSubdivision, Sainlez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainlez Context triple: [Vaux-sur-Sûre, hasSubdivision, Sainlez]
-
A.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
-
B.
Doussard
Doussard is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting at the southern end of Lake Annecy and its outdoor recreational activities.
-
C.
Pereire
Pereire is a Paris Métro station in the 17th arrondissement, serving as a stop on Line 3 and connecting to nearby RER services.
-
D.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
E.
Calixte
Calixte is a given name of Latin origin, commonly used in French-speaking regions and derived from the same root as Calixto.
- 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: Sainlez Triple: [Vaux-sur-Sûre, hasSubdivision, Sainlez]
Generated description
Sainlez is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sainlez Target entity description: Sainlez is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
-
A.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
-
B.
Doussard
Doussard is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting at the southern end of Lake Annecy and its outdoor recreational activities.
-
C.
Pereire
Pereire is a Paris Métro station in the 17th arrondissement, serving as a stop on Line 3 and connecting to nearby RER services.
-
D.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
E.
Calixte
Calixte is a given name of Latin origin, commonly used in French-speaking regions and derived from the same root as Calixto.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e760988190b50d13bba5ef5b43 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131cbf9708190ba8394fb3508b975 |
completed | April 28, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69f14e8a1b788190a1704d6e102342e3 |
completed | April 29, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f15715a1588190ba0ec21647adc57c |
completed | April 29, 2026, 12:55 a.m. |
Created at: April 8, 2026, 9:42 p.m.