Triple
T21376289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soisy-sur-Seine |
E527212
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Ris-Orangis |
—
|
NE NERFINISHED |
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: Ris-Orangis | Statement: [Soisy-sur-Seine, sharesBorderWith, Ris-Orangis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ris-Orangis Context triple: [Soisy-sur-Seine, sharesBorderWith, Ris-Orangis]
-
A.
Ris-Orangis
chosen
Ris-Orangis is a suburban commune in the southern outskirts of Paris, located in the Essonne department of the Île-de-France region in northern France.
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Roure
Roure is a small mountain commune in southeastern France, located in the Alpes-Maritimes department within the Provence-Alpes-Côte d’Azur region.
-
D.
Veigné
Veigné is a commune in central France’s Indre-et-Loire department, known for its picturesque setting along the Indre River and its traditional village character.
-
E.
Blinoise
Blinoise is the term used to refer to inhabitants or natives of the place called Blain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62c9494081909efa74e189454dc6 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 16, 2026, 5:11 p.m.