Triple
T8391400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 19th arrondissement of Paris |
E197950
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Le Pré-Saint-Gervais |
E564955
|
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: Le Pré-Saint-Gervais | Statement: [19th arrondissement of Paris, borderedBy, Le Pré-Saint-Gervais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Pré-Saint-Gervais Context triple: [19th arrondissement of Paris, borderedBy, Le Pré-Saint-Gervais]
-
A.
Le Pré-Saint-Gervais
chosen
Le Pré-Saint-Gervais is a small suburban commune in the northeastern outskirts of Paris, France.
-
B.
Billancourt
Billancourt is a Paris Métro station in Boulogne-Billancourt serving the western suburbs of the French capital.
-
C.
Beaugrenelle
Beaugrenelle is a modern riverside district in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
-
D.
Vaulx-en-Velin
Vaulx-en-Velin is a suburban commune in eastern France located just northeast of Lyon, known for its large housing estates and diverse population.
-
E.
Quartier Dauphiné
Quartier Dauphiné is a neighborhood in Lyon, France, known as part of the city’s 3rd arrondissement and characterized by its urban residential setting and proximity to central Lyon.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810c5c5c81908e124c64911c4e6c |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde84d6f3c8190ba12905ba5900087 |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:03 p.m.