Triple
T19826602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Domont |
E476340
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object | Montmorency |
—
|
NE NERFINISHED |
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: Montmorency | Statement: [canton of Domont, containsCommune, Montmorency]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montmorency Context triple: [canton of Domont, containsCommune, Montmorency]
-
A.
Montmorency
Montmorency was a federal electoral district in Quebec, Canada, represented in the House of Commons and named after the historic Montmorency region near Quebec City.
-
B.
Montmorency
Montmorency is a Montreal Metro station in Laval that serves as the eastern terminus of the Orange Line and a key transit hub for the area.
-
C.
Montmorency
chosen
Montmorency is a commune in the northern suburbs of Paris, France, known for its historic town center and surrounding Val-d'Oise area.
-
D.
Val-des-Monts
Val-des-Monts is a rural municipality in western Quebec, Canada, known for its numerous lakes, cottages, and outdoor recreational activities.
-
E.
Monchyssoise
Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cb20788190b9deac6b8af6a55d |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.