Triple
T33063264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Island |
E846027
|
entity |
| Predicate | occupiesPortionOfEarthPopulation |
P1880
|
FINISHED |
| Object | over 80 percent |
—
|
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: over 80 percent | Statement: [World Island, occupiesPortionOfEarthPopulation, over 80 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupiesPortionOfEarthPopulation Context triple: [World Island, occupiesPortionOfEarthPopulation, over 80 percent]
-
A.
coversShareOfWorldPopulation
chosen
Indicates that something accounts for or includes a specified proportion of the total human population worldwide.
-
B.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
-
C.
hostsPopulation
Indicates that an entity serves as the living environment or container in which a particular population exists or resides.
-
D.
containsMajorityOfWorldLandArea
Indicates that the subject encompasses more than half of the total land surface area of the world.
-
E.
populationShareApproximate
Indicates that one entity’s share of a total population is approximately equal to a specified proportion or percentage, allowing for some margin of error.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:25 a.m.