Triple
T11099504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacramento Valley wetlands |
E262465
|
entity |
| Predicate | ecologicalService |
P8224
|
FINISHED |
| Object | carbon sequestration |
—
|
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: carbon sequestration | Statement: [Sacramento Valley wetlands, ecologicalService, carbon sequestration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecologicalService Context triple: [Sacramento Valley wetlands, ecologicalService, carbon sequestration]
-
A.
hasEcosystemService
chosen
Indicates that one entity provides, supports, or is associated with an ecosystem service that benefits another entity or the environment.
-
B.
ecologicalRelevance
Indicates that one entity has significance, impact, or importance for the functioning, stability, or dynamics of another entity’s ecosystem or ecological context.
-
C.
ecologicalSensitivity
Indicates how strongly an entity or area is affected by, or responsive to, changes or disturbances in its surrounding ecological conditions.
-
D.
ecologicalStatus
Indicates the condition or health of an ecosystem or environment, often in terms of its quality, integrity, or degree of disturbance.
-
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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0c46308190889b94c23ebaca62 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.