Triple
T26382017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saibai Island |
E663153
|
entity |
| Predicate | environmentalVulnerability |
P163873
|
FINISHED |
| Object | sea-level rise |
—
|
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: sea-level rise | Statement: [Saibai Island, environmentalVulnerability, sea-level rise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentalVulnerability Context triple: [Saibai Island, environmentalVulnerability, sea-level rise]
-
A.
environmentalVulnerability
chosen
Indicates a susceptibility of an entity to harm, degradation, or adverse impact from environmental conditions or changes.
-
B.
livelihoodVulnerability
Indicates the degree to which an entity’s means of making a living are exposed or susceptible to harm, disruption, or loss.
-
C.
hasEnvironmentalRisk
Indicates that an entity poses, contributes to, or is associated with potential harm or adverse impact on the environment.
-
D.
environmentalSuitability
Indicates that certain environmental conditions are appropriate or favorable for a particular entity, process, or activity.
-
E.
environmentalFactor
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 26, 2026, 11:19 p.m.