Triple
T2687533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Cloud |
E57518
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Suresnes |
E384471
|
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: Suresnes | Statement: [Saint-Cloud, near, Suresnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suresnes Context triple: [Saint-Cloud, near, Suresnes]
-
A.
Suresnes
chosen
Suresnes is a suburban commune in the western outskirts of Paris, France, known for its residential character and views over the Seine and the capital.
-
B.
Asnières-sur-Seine
Asnières-sur-Seine is a suburban commune in the northwestern outskirts of Paris, France, known for its residential neighborhoods and location along the Seine River.
-
C.
Villepinte
Villepinte is a northeastern suburb of Paris in the Île-de-France region, known for hosting the large Paris Nord Villepinte exhibition center and its proximity to Charles de Gaulle Airport.
-
D.
Gennevilliers
Gennevilliers is a suburban commune in the northwestern outskirts of Paris, France, known for its large industrial and port areas along the Seine.
-
E.
Fontenay-aux-Roses
Fontenay-aux-Roses is a suburban commune in the southern outskirts of Paris, France, known for its residential character and historical ties to notable French artists and intellectuals.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f080108190ab662a3a064cb5a9 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba392ad08190a66ccf58edecb722 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 6, 2026, 9:54 p.m.