Triple
T22281042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubreuilville |
E550730
|
entity |
| Predicate | primaryNaturalRegion |
P110443
|
FINISHED |
| Object | boreal forest |
—
|
LITERAL 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: boreal forest | Statement: [Dubreuilville, primaryNaturalRegion, boreal forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryNaturalRegion Context triple: [Dubreuilville, primaryNaturalRegion, boreal forest]
-
A.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
B.
naturalRegionOf
chosen
Indicates that one entity is the natural geographic region or area in which the other entity is located or to which it belongs.
-
C.
nearNaturalRegion
Indicates that one entity is located close to a specified natural region or area in geographic space.
-
D.
territorialNature
Indicates a tendency of an entity to defend or assert control over a specific area or domain against others.
-
E.
primaryBreedingRegions
Indicates the main geographic areas where a species typically breeds or reproduces.
- F. None of above.
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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eab4f848190b1a8ba70f9fb0581 |
completed | April 29, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:40 p.m.