Triple
T20800360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saguenay–St. Lawrence Marine Park |
E512021
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Les Escoumins |
—
|
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: Les Escoumins | Statement: [Saguenay–St. Lawrence Marine Park, locatedNear, Les Escoumins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Escoumins Context triple: [Saguenay–St. Lawrence Marine Park, locatedNear, Les Escoumins]
-
A.
Les Escoumins
chosen
Les Escoumins is a small coastal municipality in Quebec, Canada, known for its whale-watching opportunities and rich marine environment along the St. Lawrence River.
-
B.
Les Bleuets
Les Bleuets is the nickname of France’s national under-21 football team, representing the country in international youth competitions.
-
C.
La Côte-aux-Fées
La Côte-aux-Fées is a small village in the Swiss Jura Mountains known as the birthplace of the luxury watchmaker Piaget.
-
D.
Les Saules
Les Saules is a residential neighbourhood in Quebec City, Canada, known for its suburban character and location within the Les Rivières borough.
-
E.
Les Rivières
Les Rivières is a borough of Quebec City known for its mix of residential neighborhoods, commercial areas, and light industrial zones.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2b014648190a1133836b36c26cd |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:39 p.m.