Triple
T24778284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putorana Plateau |
E619920
|
entity |
| Predicate | ecosystemStatus |
P18514
|
FINISHED |
| Object | largely untouched |
—
|
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: largely untouched | Statement: [Putorana Plateau, ecosystemStatus, largely untouched]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecosystemStatus Context triple: [Putorana Plateau, ecosystemStatus, largely untouched]
-
A.
ecologicalStatus
chosen
Indicates the condition or health of an ecosystem or environment, often in terms of its quality, integrity, or degree of disturbance.
-
B.
statusInEcosystem
Indicates the role or position an entity holds within an ecosystem, such as its function, influence, or level in ecological hierarchies.
-
C.
biodiversityStatus
Indicates the current condition or level of biological diversity associated with an entity, often in terms of richness, health, or conservation concern.
-
D.
ecosystemRelevance
Indicates the degree to which something is important, impactful, or integral to the functioning or health of a particular ecosystem.
-
E.
ecosystemRepresentation
Indicates that one entity serves as a model, depiction, or abstraction of an ecosystem, capturing its components, structure, or dynamics.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410d4c130819095f227ff5b500bdc |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:41 a.m.