Triple
T19872447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 洛河 |
E477550
|
entity |
| Predicate | 生态功能 |
P8224
|
FINISHED |
| Object | 为沿岸城市提供生态与景观资源 |
—
|
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: 为沿岸城市提供生态与景观资源 | Statement: [洛河, 生态功能, 为沿岸城市提供生态与景观资源]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 生态功能 Context triple: [洛河, 生态功能, 为沿岸城市提供生态与景观资源]
-
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.
ecoregionInfluence
Indicates that one ecoregion affects or shapes the environmental characteristics, processes, or conditions of another area or system.
-
E.
protectsEcosystemType
Indicates that one entity safeguards, preserves, or maintains the health and integrity of a particular type of ecosystem.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.