Triple
T10797496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gradignan |
E254747
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Sainte-Thérèse
Sainte-Thérèse is a town in Quebec, Canada, known as a suburban community within the Greater Montreal area.
|
E409132
|
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: Sainte-Thérèse | Statement: [Gradignan, hasTwinTown, Sainte-Thérèse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainte-Thérèse Context triple: [Gradignan, hasTwinTown, Sainte-Thérèse]
-
A.
Sainte-Thérèse
Sainte-Thérèse is a town in the Laurentides region of Quebec, Canada, known for its residential character and proximity to the greater Montreal area.
-
B.
Saint-Félicien
Saint-Félicien is a small city in Quebec, Canada, known for its zoo and its location in the Saguenay–Lac-Saint-Jean region.
-
C.
St-Pierre
St-Pierre is the surname of Georges St-Pierre, the renowned Canadian mixed martial artist and former UFC champion.
-
D.
Sainte-Anne
Sainte-Anne is a coastal town on the island of Grande-Terre in Guadeloupe, known for its popular beaches and tourism.
-
E.
Saint-Bruno
Saint-Bruno is a small municipality located in the Saguenay–Lac-Saint-Jean region of Quebec, Canada, known for its rural character and proximity to the area's lakes and forests.
- 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: Sainte-Thérèse Triple: [Gradignan, hasTwinTown, Sainte-Thérèse]
Generated description
Sainte-Thérèse is a town in Quebec, Canada, known as a suburban community within the Greater Montreal area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sainte-Thérèse Target entity description: Sainte-Thérèse is a town in Quebec, Canada, known as a suburban community within the Greater Montreal area.
-
A.
Sainte-Thérèse
chosen
Sainte-Thérèse is a town in the Laurentides region of Quebec, Canada, known for its residential character and proximity to the greater Montreal area.
-
B.
Saint-Félicien
Saint-Félicien is a small city in Quebec, Canada, known for its zoo and its location in the Saguenay–Lac-Saint-Jean region.
-
C.
St-Pierre
St-Pierre is the surname of Georges St-Pierre, the renowned Canadian mixed martial artist and former UFC champion.
-
D.
Sainte-Anne
Sainte-Anne is a coastal town on the island of Grande-Terre in Guadeloupe, known for its popular beaches and tourism.
-
E.
Saint-Bruno
Saint-Bruno is a small municipality located in the Saguenay–Lac-Saint-Jean region of Quebec, Canada, known for its rural character and proximity to the area's lakes and forests.
- F. None of above.
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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73333dc4081909faa40c10bce2735 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de566352608190ab15e3a4b690c9a5 |
completed | April 14, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_69de5eae7ab88190a0c512cfe61e3458 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de60907e1081908405b6d71adbd388 |
completed | April 14, 2026, 3:43 p.m. |
Created at: April 8, 2026, 9:17 p.m.