Triple
T8656082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saguenay River |
E205418
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Charlevoix |
E587395
|
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: Charlevoix | Statement: [Saguenay River, region, Charlevoix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlevoix Context triple: [Saguenay River, region, Charlevoix]
-
A.
Charlevoix
chosen
Charlevoix is a scenic region of Quebec known for its mountainous landscapes, St. Lawrence River shoreline, and popular outdoor tourism.
-
B.
Charlevoix
Charlevoix is a small resort city and popular tourist destination on the shores of Lake Michigan in northern Michigan, known for its waterfront, historic architecture, and outdoor recreation.
-
C.
Valcartier
Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
-
D.
Langelier
Langelier is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
-
E.
Villeneuve
Villeneuve is a Swiss municipality on the eastern shore of Lake Geneva in the canton of Vaud, known as a lakeside gateway to the nearby Chillon Castle and the Vaud Alps.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4844586081909b687e278496eefa |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecce40c248190b4f2b21a1ecde80b |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:29 p.m.