Triple
T2343839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val-d'Oise |
E45085
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Sarcelles |
E450439
|
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: Sarcelles | Statement: [Val-d'Oise, containsCity, Sarcelles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarcelles Context triple: [Val-d'Oise, containsCity, Sarcelles]
-
A.
Sarcelles
chosen
Sarcelles is a northern suburb of Paris in the Île-de-France region, known for its large housing estates and diverse, multicultural population.
-
B.
Aire-la-Ville
Aire-la-Ville is a small municipality in the canton of Geneva in southwestern Switzerland, situated along the Rhône River.
-
C.
Boulogne-Billancourt
Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in the Île-de-France region.
-
D.
Créteil
Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
-
E.
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.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6afe38c81909deb1de2a1c4eda9 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc4fea8fc8190bf99d53fc56d7d39 |
completed | March 20, 2026, 10:06 p.m. |
Created at: March 4, 2026, 7:52 p.m.