Triple
T20892882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurasia |
E514450
|
entity |
| Predicate | opposedLandmass |
P65099
|
FINISHED |
| Object | Gondwana in the southern hemisphere |
—
|
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: Gondwana in the southern hemisphere | Statement: [Laurasia, opposedLandmass, Gondwana in the southern hemisphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedLandmass Context triple: [Laurasia, opposedLandmass, Gondwana in the southern hemisphere]
-
A.
oppositeContinent
chosen
Indicates that two entities are located on continents that are considered opposites of each other, typically in terms of global position or conceptual pairing.
-
B.
majorLandmasses
Indicates that the related entities are the primary, large continuous expanses of land on a planetary surface.
-
C.
isLargestContiguousLandmass
Indicates that one landmass is the largest single, unbroken continuous area of land compared to all other landmasses in the relevant context.
-
D.
hasLargestContinuousLandAreaOn
Indicates that an entity possesses the greatest uninterrupted expanse of land on a specified geographic region or surface compared to all other entities.
-
E.
continentInvolved
Indicates that a particular continent participates in, is affected by, or plays a role in a specified event, process, or relationship.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05fecd88190905a0ea80a24406a |
completed | April 21, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.