Triple
T23458862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plessis-Robinson |
E568009
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Plateau de Châtenay |
—
|
NE NERFINISHED |
How this triple was built (3 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: Plateau de Châtenay | Statement: [Plessis-Robinson, locatedOn, Plateau de Châtenay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plateau de Châtenay Context triple: [Plessis-Robinson, locatedOn, Plateau de Châtenay]
-
A.
Plateau de Châtillon
Plateau de Châtillon is a suburban plateau area in the southern outskirts of Paris, France, encompassing several communes including Fontenay-aux-Roses.
-
B.
Plateau de Neauphle
Plateau de Neauphle is a small elevated plateau in the Île-de-France region of north-central France, known for its rural landscapes and proximity to Paris.
-
C.
Plateau de Millevaches
Plateau de Millevaches is a high granite plateau in central France known for its forests, peat bogs, and sparsely populated rural landscapes within the Massif Central.
-
D.
Plateau de l’Arselle
Plateau de l’Arselle is a scenic alpine plateau near Chamrousse in the French Alps, known for its cross-country skiing trails, hiking paths, and surrounding wetlands and forests.
-
E.
Plateau de Langres
Plateau de Langres is a high limestone plateau in northeastern France known as an important watershed that gives rise to several major rivers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plateau de Châtenay Target entity description: Plateau de Châtenay is a geographic plateau in the southwestern suburbs of Paris, France, known for hosting several residential communes and green spaces.
-
A.
Plateau de Châtillon
Plateau de Châtillon is a suburban plateau area in the southern outskirts of Paris, France, encompassing several communes including Fontenay-aux-Roses.
-
B.
Plateau de Neauphle
Plateau de Neauphle is a small elevated plateau in the Île-de-France region of north-central France, known for its rural landscapes and proximity to Paris.
-
C.
Plateau de Millevaches
Plateau de Millevaches is a high granite plateau in central France known for its forests, peat bogs, and sparsely populated rural landscapes within the Massif Central.
-
D.
Plateau de l’Arselle
Plateau de l’Arselle is a scenic alpine plateau near Chamrousse in the French Alps, known for its cross-country skiing trails, hiking paths, and surrounding wetlands and forests.
-
E.
Plateau de Langres
Plateau de Langres is a high limestone plateau in northeastern France known as an important watershed that gives rise to several major rivers.
- F. None of above. chosen
Provenance (2 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a699c0088190a84d7a495a3e3d61 |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.