Triple
T11888393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sundaland |
E282849
|
entity |
| Predicate | biogeographicBoundary |
P102080
|
FINISHED |
| Object | separated from Sahul by Wallacea |
—
|
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: separated from Sahul by Wallacea | Statement: [Sundaland, biogeographicBoundary, separated from Sahul by Wallacea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biogeographicBoundary Context triple: [Sundaland, biogeographicBoundary, separated from Sahul by Wallacea]
-
A.
climateBoundaryBetween
Indicates a boundary or dividing line between two regions that differ in climate characteristics or classifications.
-
B.
isPoliticalBoundary
Indicates that one entity serves as a dividing line or border that separates distinct political or administrative jurisdictions.
-
C.
countryBorderFeatureOf
Indicates that a geographical feature (such as a river, mountain range, or coastline) serves as or is part of the border of a country.
-
D.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
E.
continentBorders
Indicates that one continent shares a land or maritime boundary directly with another continent.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a2860c8190a21af5fcddbd2f1e |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.