Triple
T29544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Ring of Fire |
E589
|
entity |
| Predicate | percentageOfWorldVolcanoes |
P1948
|
FINISHED |
| Object | more than 75% |
—
|
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: more than 75% | Statement: [Pacific Ring of Fire, percentageOfWorldVolcanoes, more than 75%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageOfWorldVolcanoes Context triple: [Pacific Ring of Fire, percentageOfWorldVolcanoes, more than 75%]
-
A.
coversShareOfWorldPopulation
Indicates that something accounts for or includes a specified proportion of the total human population worldwide.
-
B.
coversFractionOfEarthSurface
Indicates that something extends over or occupies a specified fraction of the Earth's surface area.
-
C.
locatedOnTectonicBoundary
Indicates that one entity is situated directly on or along the tectonic plate boundary associated with another entity.
-
D.
UNESCOWorldHeritageSitesCount
Indicates the number of UNESCO World Heritage Sites associated with a given entity.
-
E.
voterTurnoutPercentage
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
- 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.