Triple
T2602520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States and Canada |
E58376
|
entity |
| Predicate | sharesGreatLakes |
P39563
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [United States and Canada, sharesGreatLakes, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesGreatLakes Context triple: [United States and Canada, sharesGreatLakes, yes]
-
A.
rankByVolumeInGreatLakes
Indicates the relative ordering of entities based on their water volume within the Great Lakes.
-
B.
positionInGreatLakesChain
Indicates the relative location or ordering of an entity within the sequence of the Great Lakes.
-
C.
numberOfLakes
Indicates the quantity of lakes associated with a given entity.
-
D.
isOneOfLargestLakesByArea
Indicates that the subject lake ranks among the largest lakes in terms of surface area.
-
E.
hasMajorLake
Indicates that a geographic region or area contains at least one significant lake within its boundaries.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd459ca6c81908505be96d097b739 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1c7b6e48190be9a0c31069df797 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:49 p.m.