Triple
T16472992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groslay |
E400111
|
entity |
| Predicate | nearbyCommune |
P3883
|
FINISHED |
| Object | Montmagny |
E830500
|
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: Montmagny | Statement: [Groslay, nearbyCommune, Montmagny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montmagny Context triple: [Groslay, nearbyCommune, Montmagny]
-
A.
Montmagny
chosen
Montmagny is a French commune located in the northern suburbs of Paris, known for its residential character within the Val-d'Oise department.
-
B.
Montmagny
Montmagny is a small municipality in the canton of Vaud in western Switzerland, situated near Lake Murten in a predominantly rural, agricultural setting.
-
C.
Montmagny
Montmagny is a town in the Chaudière-Appalaches region of Quebec, Canada, located along the south shore of the Saint Lawrence River.
-
D.
Sainte-Anne-des-Monts
Sainte-Anne-des-Monts is a coastal town in eastern Quebec, Canada, known as a gateway to the Gaspésie region and nearby Gaspésie National Park.
-
E.
Sainte-Anne-la-Royale
Sainte-Anne-la-Royale is a historic Theatine church in Paris known for its Baroque architecture and association with the Catholic reform movement.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd266c48190991a1484eb2f7bcc |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a50665d081908c07fe3cb59088b3 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:11 a.m.