Triple
T2343843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val-d'Oise |
E45085
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Ermont |
E227534
|
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: Ermont | Statement: [Val-d'Oise, containsCity, Ermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ermont Context triple: [Val-d'Oise, containsCity, Ermont]
-
A.
Ermont
chosen
Ermont is a suburban commune in the northern outskirts of Paris, France, known for its residential character and transport links into the capital.
-
B.
Gonesse
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.
-
C.
Poissy
Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
-
D.
Ermenonville
Ermenonville is a village in northern France known for its picturesque landscape garden and as the place where philosopher Jean-Jacques Rousseau spent his final days.
-
E.
Saint-Germain-en-Laye
Saint-Germain-en-Laye is a historic town in the western suburbs of Paris, France, known for its royal château and long association with the French monarchy.
- 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_69afce7a1c908190919280545ae4443c |
completed | March 10, 2026, 7:55 a.m. |
Created at: March 4, 2026, 7:52 p.m.