Triple
T10410475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stains |
E245374
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Garges-lès-Gonesse |
E445648
|
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: Garges-lès-Gonesse | Statement: [Stains, locatedNear, Garges-lès-Gonesse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garges-lès-Gonesse Context triple: [Stains, locatedNear, Garges-lès-Gonesse]
-
A.
Garges-lès-Gonesse
chosen
Garges-lès-Gonesse is a suburban commune in the Val-d'Oise department in the northern outskirts of Paris, France.
-
B.
Bougival
Bougival is a picturesque commune along the Seine River in the western suburbs of Paris, long associated with Impressionist painters and riverside leisure.
-
C.
La Garenne-Colombes
La Garenne-Colombes is a suburban commune in the western outskirts of Paris, France, known for its residential character and proximity to the La Défense business district.
-
D.
Rosny-sous-Bois
Rosny-sous-Bois is a suburban commune in the eastern outskirts of Paris, France, known as part of the Seine-Saint-Denis department in the Île-de-France region.
-
E.
Bobigny
Bobigny is a northeastern suburb of Paris that serves as an administrative and transport hub within the Île-de-France region.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9fb98748190a3a6c161edd8f400 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8bcbb34819088c21d79357eef8a |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 6, 2026, 12:09 p.m.