Triple
T2948545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonneuil-en-France |
E79561
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Gonesse |
E168772
|
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: Gonesse | Statement: [Bonneuil-en-France, sharesBorderWith, Gonesse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gonesse Context triple: [Bonneuil-en-France, sharesBorderWith, Gonesse]
-
A.
Gonesse
chosen
Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
-
B.
Nogent-sur-Seine
Nogent-sur-Seine is a commune in north-central France known for its riverside setting on the Seine and its proximity to the Nogent-sur-Seine Nuclear Power Plant.
-
C.
Étampes
Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
-
D.
Vaucresson
Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
-
E.
Bougival
Bougival is a picturesque commune along the Seine River in the western suburbs of Paris, long associated with Impressionist painters and riverside leisure.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b6cab88190b4dee7e5ec9347e5 |
completed | March 8, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6720e877481908d870653bbb09820 |
completed | March 15, 2026, 8:47 a.m. |
Created at: March 8, 2026, 2:57 p.m.