Triple
T31487949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namaqua-Natal orogeny |
E803328
|
entity |
| Predicate | linkedSupercontinent |
P193255
|
FINISHED |
| Object | Rodinia |
—
|
NE NERFINISHED |
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: Rodinia | Statement: [Namaqua-Natal orogeny, linkedSupercontinent, Rodinia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedSupercontinent Context triple: [Namaqua-Natal orogeny, linkedSupercontinent, Rodinia]
-
A.
alsoContinent
Indicates that two entities share the same continent or that one entity is located on a continent in addition to another.
-
B.
continentSystem
Indicates a relationship where a continent is part of, or associated with, a particular planetary or geographic system.
-
C.
continentB
Indicates that the subject entity is a continent that contains or is associated with the object entity (such as a country, region, or location).
-
D.
separatedContinents
Indicates that the related entities are located on different continents, with a geographic separation between them.
-
E.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
| PDg | Predicate description generation | batch_69fd3d45ccb8819082f15e60bd33afc9 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 30, 2026, 9:36 p.m.