Triple
T8940632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata Atlântica |
E212890
|
entity |
| Predicate | currentExtent |
P20336
|
FINISHED |
| Object | small fraction of original area remaining |
—
|
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: small fraction of original area remaining | Statement: [Mata Atlântica, currentExtent, small fraction of original area remaining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentExtent Context triple: [Mata Atlântica, currentExtent, small fraction of original area remaining]
-
A.
currentExtentDesignated
Indicates that the currently applicable spatial or conceptual extent of something has been formally defined or designated.
-
B.
maximumExtent
Indicates the greatest or furthest degree, size, or range to which something can extend or apply within a given context.
-
C.
eezExtent
Indicates the geographic area or spatial coverage of a country's exclusive economic zone (EEZ).
-
D.
hasApproximateExtent
chosen
Indicates that one entity has a spatial, temporal, or quantitative extent that is only roughly or approximately specified rather than exact.
-
E.
maximumExtentFromBaseline
Indicates the greatest distance or deviation of something from a defined baseline reference.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b8b37c8190bce6e049de8cf732 |
completed | April 1, 2026, 12:28 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:58 p.m.