Triple
T33063263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Island |
E846027
|
entity |
| Predicate | occupiesPortionOfEarthLandArea |
P18214
|
FINISHED |
| Object | about 57 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: about 57 percent | Statement: [World Island, occupiesPortionOfEarthLandArea, about 57 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupiesPortionOfEarthLandArea Context triple: [World Island, occupiesPortionOfEarthLandArea, about 57 percent]
-
A.
hasLandAreaRange
Indicates that an entity’s land area falls within a specified minimum-to-maximum range.
-
B.
containsMajorityOfWorldLandArea
Indicates that the subject encompasses more than half of the total land surface area of the world.
-
C.
landAreaShare
chosen
Indicates the proportion of a larger geographic area’s total land area that is accounted for by a specific sub-area or unit.
-
D.
onLandmass
Indicates that one entity is physically located on or within the boundaries of a specified landmass.
-
E.
hasTerrestrialArea
Indicates that an entity possesses a specified extent of land area on the Earth's surface.
- 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_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:25 a.m.