Triple
T6397509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabrera |
E143975
|
entity |
| Predicate | environmentalThreatLevel |
P44074
|
FINISHED |
| Object | relatively low human impact |
—
|
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: relatively low human impact | Statement: [Cabrera, environmentalThreatLevel, relatively low human impact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentalThreatLevel Context triple: [Cabrera, environmentalThreatLevel, relatively low human impact]
-
A.
hasEnvironmentalRisk
chosen
Indicates that an entity poses, contributes to, or is associated with potential harm or adverse impact on the environment.
-
B.
environmentalProtectionStatus
Indicates the level or type of legal or policy-based protection afforded to an entity due to environmental conservation or preservation considerations.
-
C.
threatenedBy
Indicates that one entity poses a danger or potential harm to another entity.
-
D.
environmentalSignificance
Indicates the importance or impact that something has on the natural environment, such as its role in conservation, degradation, or ecological balance.
-
E.
environmentScale
Indicates the relative size, extent, or magnitude of an environment in which entities or processes exist or operate.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06896d180819091548a728e903184 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.