Triple
T25763285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 洮河 |
E648803
|
entity |
| Predicate | 相关生态系统 |
P65595
|
FINISHED |
| Object | 高原河谷生态系统 |
—
|
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: 高原河谷生态系统 | Statement: [洮河, 相关生态系统, 高原河谷生态系统]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 相关生态系统 Context triple: [洮河, 相关生态系统, 高原河谷生态系统]
-
A.
ecosystemRelevance
Indicates the degree to which something is important, impactful, or integral to the functioning or health of a particular ecosystem.
-
B.
ecosystemRepresentation
Indicates that one entity serves as a model, depiction, or abstraction of an ecosystem, capturing its components, structure, or dynamics.
-
C.
partOfEcosystem
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
-
D.
containsEcosystem
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
-
E.
ecologicalRelevance
chosen
Indicates that one entity has significance, impact, or importance for the functioning, stability, or dynamics of another entity’s ecosystem or ecological context.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdf12528819093c47b3af6b865ef |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 5:07 a.m.