Triple
T893341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Ocean |
E19288
|
entity |
| Predicate | containsPercentOfEarthWater |
P1884
|
FINISHED |
| Object | about 97% of Earth’s surface water |
—
|
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 97% of Earth’s surface water | Statement: [World Ocean, containsPercentOfEarthWater, about 97% of Earth’s surface water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPercentOfEarthWater Context triple: [World Ocean, containsPercentOfEarthWater, about 97% of Earth’s surface water]
-
A.
areaWaterPercentage
Indicates the proportion of an entity’s total area that is covered by water, typically expressed as a percentage.
-
B.
coversFractionOfEarthSurface
chosen
Indicates that something extends over or occupies a specified fraction of the Earth's surface area.
-
C.
hasHydrosphere
Indicates that an entity possesses or is characterized by a surrounding layer or system of water, such as oceans, seas, lakes, or other bodies of liquid water.
-
D.
forEarthApprox
Indicates an approximate or estimated value or condition as it pertains to Earth or an Earth-related context.
-
E.
isMostlyOceanic
Indicates that something consists predominantly of ocean or sea areas rather than land.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.