Triple
T2000548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodinia |
E43459
|
entity |
| Predicate | continentType |
P35025
|
FINISHED |
| Object | supercontinent |
—
|
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: supercontinent | Statement: [Rodinia, continentType, supercontinent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentType Context triple: [Rodinia, continentType, supercontinent]
-
A.
continentOfCountry
Indicates that a given continent is the one on which a specified country is geographically located.
-
B.
continent
Indicates that one entity is a continent on which the other entity is geographically located or to which it belongs.
-
C.
continentOfHomeCountry
Indicates that the specified continent is the one in which the referenced entity’s home country is located.
-
D.
continentOfDestination
Indicates that a specified continent is the destination location associated with an entity’s movement, travel, or targeting.
-
E.
continentOfUse
Indicates the continent where something is primarily used or in effect.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb87f78f0819098e787a5f3e062fd |
completed | March 7, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69abb79e63c08190982c8b44a557266f |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb87b9fc08190a748c278ef2d7dc7 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:37 p.m.