Triple
T1615950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Rupert |
E34717
|
entity |
| Predicate | isOneOfRainiestCitiesInCanada |
P30456
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Prince Rupert, isOneOfRainiestCitiesInCanada, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfRainiestCitiesInCanada Context triple: [Prince Rupert, isOneOfRainiestCitiesInCanada, true]
-
A.
averageAnnualPrecipitation
Indicates the typical total amount of precipitation an entity receives over the course of a year, averaged across multiple years.
-
B.
isProvincialCapital
Indicates that a location serves as the administrative capital of a province within a country or region.
-
C.
hasPopulationRankInCanada
Indicates the relative position of an entity’s population size compared to other entities within Canada.
-
D.
includesCanadianTerritoryPartially
Indicates that one entity geographically encompasses part, but not all, of the territory of Canada.
-
E.
largestProvinceByArea
Indicates that one province has the greatest land area compared to all other provinces within a specified region or country.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fef600c819080fe75c42c8e6dac |
completed | March 5, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69a907c52a548190b648a31ea306dd5b |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fedcb108190ad91f938d5eeaaa2 |
completed | March 5, 2026, 8:33 a.m. |
Created at: March 4, 2026, 7:28 p.m.