Triple
T5940952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainy River District |
E132163
|
entity |
| Predicate | hasTownship |
P22464
|
FINISHED |
| Object | Atikokan |
E136840
|
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: Atikokan | Statement: [Rainy River District, hasTownship, Atikokan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atikokan Context triple: [Rainy River District, hasTownship, Atikokan]
-
A.
Atikokan
chosen
Atikokan is a small town in northwestern Ontario, Canada, known as a primary gateway community to Quetico Provincial Park and the surrounding wilderness canoeing areas.
-
B.
Gastineau
Gastineau is a surname most notably associated with former American football defensive end Mark Gastineau.
-
C.
Nashwaaksis
Nashwaaksis is a residential neighbourhood in the city of Fredericton, New Brunswick, Canada.
-
D.
Nenana
Nenana is a small Alaskan city known for its historic railroad bridge, river transportation role, and the annual Nenana Ice Classic ice-melt lottery.
-
E.
Talkeetna
Talkeetna is a small Alaskan town known as a gateway and staging point for climbers and tourists visiting Denali and the surrounding wilderness.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038f101c081908fb530d2f1f358fc |
completed | March 22, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3bd196081908361a38ca17309c6 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4:01 p.m.