Triple
T25736515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catatumbo lightning |
E645390
|
entity |
| Predicate | averageFlashesPerSquareKilometerPerYear |
P160681
|
FINISHED |
| Object | among highest in the world |
—
|
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 highest in the world | Statement: [Catatumbo lightning, averageFlashesPerSquareKilometerPerYear, among highest in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageFlashesPerSquareKilometerPerYear Context triple: [Catatumbo lightning, averageFlashesPerSquareKilometerPerYear, among highest in the world]
-
A.
averageFlashesPerHour
Indicates the average number of flashes that occur in one hour for the given subject or context.
-
B.
ruptureEventsFrequency
Indicates how often rupture events occur within a given time or context.
-
C.
averageSpreadingRate
Indicates the typical rate at which something (such as a phenomenon, substance, or influence) expands or propagates over a given distance or time.
-
D.
averageRecurrenceInterval
Indicates the typical time span between successive occurrences of the same type of event.
-
E.
percentageOfWorldEarthquakes
Indicates the proportion of all earthquakes worldwide that occur in or are attributed to a specific entity or region.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60459a53c8190bbd90e80890eebcd |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 21, 2026, 11:27 p.m.