Triple
T11421638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfalz |
E270634
|
entity |
| Predicate | hasAverageAnnualSunshine |
P57952
|
FINISHED |
| Object | high for Germany |
—
|
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: high for Germany | Statement: [Pfalz, hasAverageAnnualSunshine, high for Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAverageAnnualSunshine Context triple: [Pfalz, hasAverageAnnualSunshine, high for Germany]
-
A.
averageAnnualSunshineDays
Indicates the typical number of days per year that a location experiences sunshine, averaged over a specified period.
-
B.
sunshineHoursPerYear
chosen
Indicates the total number of hours in a year during which a location receives direct sunshine.
-
C.
averageAnnualPrecipitation
Indicates the typical total amount of precipitation an entity receives over the course of a year, averaged across multiple years.
-
D.
hasMaximumSolarInsolation
Indicates that an entity receives the highest level of solar radiation or sunlight intensity compared to relevant alternatives or within a given context.
-
E.
hasMinimumSolarInsolation
Indicates that an entity receives at least a specified minimum amount of solar energy (insolation) over a given area and time period.
- F. None of above.
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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b357e88190ace56d36a945688f |
completed | April 9, 2026, 7:44 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.