Triple
T21376290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soisy-sur-Seine |
E527212
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Courcouronnes |
—
|
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: Courcouronnes | Statement: [Soisy-sur-Seine, sharesBorderWith, Courcouronnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courcouronnes Context triple: [Soisy-sur-Seine, sharesBorderWith, Courcouronnes]
-
A.
Courcouronnes
chosen
Courcouronnes is a suburban commune in the southern Île-de-France region of France, located in the Essonne department near Paris.
-
B.
Magnicourt
Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
C.
Brienne-le-Château
Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
-
D.
Grand Reims
Grand Reims is an urban community in northeastern France that groups Reims and surrounding municipalities to coordinate regional governance and development.
-
E.
Ruffec
Ruffec is a small commune and town in southwestern France known for its historic architecture and location in the Charente department of the Nouvelle-Aquitaine region.
- 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.