Triple
T25345256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxa |
E635527
|
entity |
| Predicate | partOfEcologicalRegion |
P948
|
FINISHED |
| Object | Bijagós Archipelago biosphere area |
—
|
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: Bijagós Archipelago biosphere area | Statement: [Roxa, partOfEcologicalRegion, Bijagós Archipelago biosphere area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfEcologicalRegion Context triple: [Roxa, partOfEcologicalRegion, Bijagós Archipelago biosphere area]
-
A.
ecoregion
chosen
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
B.
isEcologicalZone
Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
-
C.
ecoregionCode
Indicates the specific ecological region identifier associated with an entity, linking it to a defined environmental or biogeographic zone.
-
D.
ecoregionsInclude
Indicates that one ecoregion spatially contains or encompasses another ecoregion or area within its boundaries.
-
E.
partOfForestRegion
Indicates that one entity is a component or subdivision within a larger forest region.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 21, 2026, 1:34 p.m.