Triple
T9436928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ermont |
E227534
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sannois |
E274317
|
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: Sannois | Statement: [Ermont, locatedNear, Sannois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sannois Context triple: [Ermont, locatedNear, Sannois]
-
A.
Sannois
chosen
Sannois is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and location within the Val-d'Oise department.
-
B.
Corbeil-Essonnes
Corbeil-Essonnes is a suburban commune in the southern outskirts of Paris, France, known as a local transport hub and residential area within the Île-de-France region.
-
C.
Valenciennes metropolitan area
The Valenciennes metropolitan area is an urban agglomeration in northern France centered on the city of Valenciennes, known for its industrial heritage and cultural institutions.
-
D.
Reims metropolitan area
The Reims metropolitan area is an urban agglomeration in northeastern France centered on the city of Reims, known for its historical cathedral and role in the Champagne wine region.
-
E.
Créteil
Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7ede1e148190b5793863a851c92c |
completed | April 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2572f5ccc81909f967dc69a8ae260 |
completed | April 5, 2026, 12:35 p.m. |
Created at: March 30, 2026, 7:50 p.m.