Triple
T29545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Ring of Fire |
E589
|
entity |
| Predicate | percentageOfWorldEarthquakes |
P1949
|
FINISHED |
| Object | about 90% |
—
|
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: about 90% | Statement: [Pacific Ring of Fire, percentageOfWorldEarthquakes, about 90%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageOfWorldEarthquakes Context triple: [Pacific Ring of Fire, percentageOfWorldEarthquakes, about 90%]
-
A.
locatedOnTectonicBoundary
Indicates that one entity is situated directly on or along the tectonic plate boundary associated with another entity.
-
B.
coversShareOfWorldPopulation
Indicates that something accounts for or includes a specified proportion of the total human population worldwide.
-
C.
coversFractionOfEarthSurface
Indicates that something extends over or occupies a specified fraction of the Earth's surface area.
-
D.
populationDensity
Indicates the number of individuals or entities occupying a unit area within a given region.
-
E.
coversShareOfWorldGDP
Indicates that the subject accounts for a specified proportion of the total gross domestic product produced worldwide.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490019948190a89bb0910c60d462 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a2486d40348190b2d21fc444f499a6 |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a248fef2b881908180bd4e32e58cb5 |
completed | Feb. 28, 2026, 1:46 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.