Triple
T38045941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Erie North Shore wine region |
E949616
|
entity |
| Predicate | growingDegreeDays |
P189904
|
FINISHED |
| Object | among the highest in Ontario wine regions |
—
|
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: among the highest in Ontario wine regions | Statement: [Lake Erie North Shore wine region, growingDegreeDays, among the highest in Ontario wine regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: growingDegreeDays Context triple: [Lake Erie North Shore wine region, growingDegreeDays, among the highest in Ontario wine regions]
-
A.
growingSeason
Indicates the period of the year during which growth or development actively occurs for the referenced entity.
-
B.
sunshineHoursPerYear
Indicates the total number of hours in a year during which a location receives direct sunshine.
-
C.
hasAverageAnnualTemperature_C
Indicates that an entity is associated with a specific value representing its average annual temperature measured in degrees Celsius.
-
D.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
E.
diurnalRange
Indicates the difference between the daily maximum and minimum values of a measured quantity, typically temperature, over a 24-hour period.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fc44c67118819088accfeded7b449e |
completed | May 7, 2026, 7:52 a.m. |
Created at: May 3, 2026, 4:20 p.m.