Triple
T7380936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Severn |
E170246
|
entity |
| Predicate | regionType |
P1828
|
FINISHED |
| Object | Muskoka region |
E519038
|
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: Muskoka region | Statement: [Port Severn, regionType, Muskoka region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muskoka region Context triple: [Port Severn, regionType, Muskoka region]
-
A.
Muskoka
chosen
Muskoka is a popular cottage and vacation region in Ontario, Canada, known for its scenic lakes, forests, and upscale resorts.
-
B.
Yalta region
The Yalta region is a coastal area on the southern shore of the Crimean Peninsula, known for its resort towns, mild climate, and scenic Black Sea landscapes.
-
C.
Tver Karelia
Tver Karelia is a historical region of the Karelian people located in the Tver Oblast of Russia, formed by Karelian resettlements from their traditional northern homelands.
-
D.
Ladoga region
The Ladoga region is a historically contested area around Lake Ladoga in northwestern Russia, long serving as a strategic frontier between Scandinavian and East Slavic powers.
-
E.
Baikal region
The Baikal region is a geographic area in Siberia centered around Lake Baikal, renowned for its unique ecosystems, dramatic landscapes, and cultural significance.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c7b5bc81908afa2bf39159979b |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802db77988190aacc4e2f9cbb0bb3 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.