Triple
T8940631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata Atlântica |
E212890
|
entity |
| Predicate | originalExtent |
P86452
|
FINISHED |
| Object | large continuous strip along Brazil’s eastern coast |
—
|
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: large continuous strip along Brazil’s eastern coast | Statement: [Mata Atlântica, originalExtent, large continuous strip along Brazil’s eastern coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalExtent Context triple: [Mata Atlântica, originalExtent, large continuous strip along Brazil’s eastern coast]
-
A.
maximumExtent
Indicates the greatest or furthest degree, size, or range to which something can extend or apply within a given context.
-
B.
currentExtentDesignated
Indicates that the currently applicable spatial or conceptual extent of something has been formally defined or designated.
-
C.
eezExtent
Indicates the geographic area or spatial coverage of a country's exclusive economic zone (EEZ).
-
D.
maximumExtentFromBaseline
Indicates the greatest distance or deviation of something from a defined baseline reference.
-
E.
verticalExtent
Indicates the total height or vertical span of an entity or region from its lowest to highest point.
- 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_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. |
| PDg | Predicate description generation | batch_69cc60e0d7208190966797ce5f95fe49 |
completed | April 1, 2026, 12:03 a.m. |
Created at: March 30, 2026, 6:58 p.m.