Triple
T6331542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renfrew County |
E142391
|
entity |
| Predicate | containsCommunity |
P8617
|
FINISHED |
| Object |
Calabogie
Calabogie is a small community in eastern Ontario, Canada, known for its lake, ski resort, and motorsports track.
|
E590123
|
NE FINISHED |
How this triple was built (4 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: Calabogie | Statement: [Renfrew County, containsCommunity, Calabogie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calabogie Context triple: [Renfrew County, containsCommunity, Calabogie]
-
A.
Moosonee
Moosonee is a remote northern Ontario community near James Bay, often considered a gateway to Canada’s Arctic region.
-
B.
Ranco Lake
Ranco Lake is a large glacial lake in southern Chile known for its scenic Andean surroundings, clear waters, and popularity for fishing and outdoor recreation.
-
C.
Tupper Lake
Tupper Lake is a scenic lake and small community in northern New York known as a gateway to outdoor recreation in the Adirondack region.
-
D.
Temagami
Temagami is a small northern Ontario community renowned for its pristine lakes, old-growth pine forests, and wilderness recreation opportunities.
-
E.
Mackenzie Waters
Mackenzie Waters was a Canadian architect best known for designing Toronto’s historic Maple Leaf Gardens, one of hockey’s most iconic arenas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Calabogie Triple: [Renfrew County, containsCommunity, Calabogie]
Generated description
Calabogie is a small community in eastern Ontario, Canada, known for its lake, ski resort, and motorsports track.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calabogie Target entity description: Calabogie is a small community in eastern Ontario, Canada, known for its lake, ski resort, and motorsports track.
-
A.
Moosonee
Moosonee is a remote northern Ontario community near James Bay, often considered a gateway to Canada’s Arctic region.
-
B.
Ranco Lake
Ranco Lake is a large glacial lake in southern Chile known for its scenic Andean surroundings, clear waters, and popularity for fishing and outdoor recreation.
-
C.
Tupper Lake
Tupper Lake is a scenic lake and small community in northern New York known as a gateway to outdoor recreation in the Adirondack region.
-
D.
Temagami
Temagami is a small northern Ontario community renowned for its pristine lakes, old-growth pine forests, and wilderness recreation opportunities.
-
E.
Mackenzie Waters
Mackenzie Waters was a Canadian architect best known for designing Toronto’s historic Maple Leaf Gardens, one of hockey’s most iconic arenas.
- F. None of above. chosen
Provenance (5 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06514cbe8819096dbeb17ccb3e3d5 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63862698c8190a23f9f228a7cc8a7 |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c63a68bddc8190a312b75a0cc2f533 |
completed | March 27, 2026, 8:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63abed65081908576b9c348a494bb |
completed | March 27, 2026, 8:07 a.m. |
Created at: March 22, 2026, 4:30 p.m.