Triple
T34899861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Sister Island |
E1006550
|
entity |
| Predicate | hasNearbyCanadianProvince |
P201366
|
FINISHED |
| Object | Ontario |
—
|
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: Ontario | Statement: [Middle Sister Island, hasNearbyCanadianProvince, Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyCanadianProvince Context triple: [Middle Sister Island, hasNearbyCanadianProvince, Ontario]
-
A.
adjacentToCanadianProvince
Indicates that one entity is directly next to or shares a border with a Canadian province.
-
B.
hasNearbyProvince
Indicates that one province is geographically close to or directly adjacent to another province.
-
C.
adjacentCanadianProvince
Indicates that two entities are Canadian provinces that share a common land or maritime border.
-
D.
bordersCanadianProvinceIndirectlyAcrossWater
Indicates that one region is separated from a Canadian province only by a body of water, such that they face each other across water rather than sharing a direct land border.
-
E.
nearProvince
Indicates that one province is geographically close to or bordering another province.
- F. None of above. chosen
Provenance (4 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
| PDg | Predicate description generation | batch_69ffed884b908190b12422c790b1525e |
completed | May 10, 2026, 2:29 a.m. |
Created at: May 3, 2026, 4 p.m.