Triple
T32446346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baudette International Airport |
E829156
|
entity |
| Predicate | servesBorderCommunity |
P119302
|
FINISHED |
| Object | Baudette–Rainy River area |
—
|
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: Baudette–Rainy River area | Statement: [Baudette International Airport, servesBorderCommunity, Baudette–Rainy River area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesBorderCommunity Context triple: [Baudette International Airport, servesBorderCommunity, Baudette–Rainy River area]
-
A.
servesNearbyCommunities
chosen
Indicates that an entity provides services or support to communities located in its surrounding area.
-
B.
servesBorder
Indicates that one entity functions as a boundary or border for another entity.
-
C.
servedCommunitiesIncluding
Indicates that an entity provided services or benefits to a set of communities that includes, but may not be limited to, the specified communities.
-
D.
servesCommunitiesAlong
Indicates that something provides services or support to the communities located along a particular route, corridor, or area.
-
E.
servedCommunitiesIn
Indicates that an entity has provided services or support to communities located within a specified area or jurisdiction.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 1, 2026, 12:56 a.m.