Triple
T6659274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Île-Bizard–Sainte-Geneviève |
E151428
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sainte-Geneviève |
E609310
|
NE FINISHED |
How this triple was built (2 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-Geneviève | Statement: [L’Île-Bizard–Sainte-Geneviève, hasPart, Sainte-Geneviève]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainte-Geneviève Context triple: [L’Île-Bizard–Sainte-Geneviève, hasPart, Sainte-Geneviève]
-
A.
Sainte-Geneviève
chosen
Sainte-Geneviève is a residential neighborhood in the western part of Montreal, Quebec, known for its suburban character along the Rivière des Prairies.
-
B.
Pont Jeanne-d’Arc
Pont Jeanne-d’Arc is a bridge in the town of Melun, France, that serves as one of its main crossings over the Seine River.
-
C.
Saint Genevieve
Saint Genevieve is the patron saint of Paris, revered for her piety and credited with protecting the city from invasion through her faith and leadership in the 5th century.
-
D.
Saint-Philippe du Roule
Saint-Philippe du Roule is a Paris Métro station in the 8th arrondissement, serving the upscale district near the Champs-Élysées.
-
E.
Montagne Sainte-Geneviève
Montagne Sainte-Geneviève is a historic hill in Paris’s Latin Quarter known for its academic institutions and intellectual heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b071cc6c81909d7df1841c645661 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79a08548190907ea5244026b4e1 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:02 p.m.