Triple
T31976350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 澜沧江 |
E816457
|
entity |
| Predicate | 生态意义 |
P35905
|
FINISHED |
| Object | 支持湄公河流域生物多样性 |
—
|
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: 支持湄公河流域生物多样性 | Statement: [澜沧江, 生态意义, 支持湄公河流域生物多样性]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 生态意义 Context triple: [澜沧江, 生态意义, 支持湄公河流域生物多样性]
-
A.
生态定位
Indicates the ecological role or niche an organism occupies within its environment, including its functional position and interactions in the ecosystem.
-
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.
environmentalSignificance
Indicates the importance or impact that something has on the natural environment, such as its role in conservation, degradation, or ecological balance.
-
D.
ecologicalSensitivity
Indicates how strongly an entity or area is affected by, or responsive to, changes or disturbances in its surrounding ecological conditions.
-
E.
hasBiodiversitySignificance
chosen
Indicates that something possesses ecological importance due to the variety, rarity, or conservation value of the species and habitats it supports.
- 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b344b24881908bf1da55fd9b3a97 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:11 a.m.