Triple
T35150969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karachi monsoon floods |
E1014987
|
entity |
| Predicate | exposesVulnerabilityOf |
P119540
|
FINISHED |
| Object | Karachi drainage infrastructure |
—
|
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: Karachi drainage infrastructure | Statement: [Karachi monsoon floods, exposesVulnerabilityOf, Karachi drainage infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposesVulnerabilityOf Context triple: [Karachi monsoon floods, exposesVulnerabilityOf, Karachi drainage infrastructure]
-
A.
vulnerableWhen
Indicates that an entity is at increased risk of harm, failure, or exploitation under certain specified conditions or circumstances.
-
B.
securityVulnerability
Indicates that an entity has a weakness or flaw that could be exploited to compromise its security.
-
C.
canBeExploitedFor
Indicates that one entity is capable of being used or taken advantage of by another entity to obtain some benefit, resource, or outcome.
-
D.
vulnerabilityType
Indicates the specific kind or category of vulnerability associated with an entity or situation.
-
E.
vulnerabilitySource
chosen
Indicates that one entity is the origin, cause, or contributing factor of another entity’s vulnerability or weakness.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78cec05a48190a2c656aee8dff956 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.