Triple
T1199735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Guinea rain forests |
E25751
|
entity |
| Predicate | providesEcosystemService |
P8224
|
FINISHED |
| Object | carbon storage |
—
|
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 storage | Statement: [New Guinea rain forests, providesEcosystemService, carbon storage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesEcosystemService Context triple: [New Guinea rain forests, providesEcosystemService, carbon storage]
-
A.
hasEcosystemService
chosen
Indicates that one entity provides, supports, or is associated with an ecosystem service that benefits another entity or the environment.
-
B.
partOfEcosystem
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
-
C.
ecologicalStatus
Indicates the condition or health of an ecosystem or environment, often in terms of its quality, integrity, or degree of disturbance.
-
D.
roleInEcosystem
Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
-
E.
containsEcosystem
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9d56748190a12fe4a30346f1d8 |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.