Triple
T38100609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Itaúnas |
E951366
|
entity |
| Predicate | hasEcologicalImportanceIn |
P35905
|
FINISHED |
| Object | Espírito Santo |
—
|
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: Espírito Santo | Statement: [Rio Itaúnas, hasEcologicalImportanceIn, Espírito Santo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEcologicalImportanceIn Context triple: [Rio Itaúnas, hasEcologicalImportanceIn, Espírito Santo]
-
A.
hasBiodiversitySignificance
chosen
Indicates that something possesses ecological importance due to the variety, rarity, or conservation value of the species and habitats it supports.
-
B.
ecosystemsProtected
Indicates that certain ecosystems are safeguarded from harm or degradation through conservation or protective measures.
-
C.
biodiversityHotspot
Indicates a location or region that supports exceptionally high levels of biodiversity, often with many endemic or threatened species, and is therefore considered a conservation priority.
-
D.
hasEconomicImportanceFor
Indicates that one entity holds economic value, benefit, or significance for another entity.
-
E.
isEcologicalZone
Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
- 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.