Triple
T8657839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Gratien |
E205466
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Soisy-sous-Montmorency |
E282818
|
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: Soisy-sous-Montmorency | Statement: [Saint-Gratien, locatedNear, Soisy-sous-Montmorency]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soisy-sous-Montmorency Context triple: [Saint-Gratien, locatedNear, Soisy-sous-Montmorency]
-
A.
Soisy-sous-Montmorency
chosen
Soisy-sous-Montmorency is a suburban commune in the northern outskirts of Paris, France, located in the Val-d'Oise department.
-
B.
Soisy-sur-Seine
Soisy-sur-Seine is a suburban commune in the Essonne department in northern France, situated along the Seine River south of Paris.
-
C.
Le Vésinet
Le Vésinet is a suburban town in the western outskirts of Paris, France, known for its landscaped parks, lakes, and villa-style residential character.
-
D.
Morsang-sur-Seine
Morsang-sur-Seine is a small commune in the Essonne department in northern France, situated along the Seine River and within the southern suburbs of Paris.
-
E.
Fontenay-le-Comte
Fontenay-le-Comte is a historic town in western France known as an administrative and cultural center in the Vendée department.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486d576081908ad28749c7971432 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef373a22c8190931b4107c68e7017 |
completed | April 2, 2026, 10:53 p.m. |
Created at: March 30, 2026, 6:30 p.m.