Triple
T38449515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panama Canal construction planning and organization |
E912129
|
entity |
| Predicate | hasRiskManaged |
P194842
|
FINISHED |
| Object | tropical disease |
—
|
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: tropical disease | Statement: [Panama Canal construction planning and organization, hasRiskManaged, tropical disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiskManaged Context triple: [Panama Canal construction planning and organization, hasRiskManaged, tropical disease]
-
A.
riskManagedBy
Indicates that the potential or identified risk is controlled, mitigated, or overseen through the actions, policies, or responsibilities of a specified managing entity.
-
B.
hasRiskStatus
Indicates the level or category of risk currently associated with an entity.
-
C.
hasRiskFor
Indicates that one entity is susceptible or exposed to the possibility of experiencing a harmful event, condition, or outcome associated with another entity.
-
D.
riskTypesManaged
Indicates that one entity is responsible for handling, controlling, or overseeing specific categories of risk associated with another entity or context.
-
E.
hasRiskFrom
Indicates that one entity is exposed to or may suffer potential harm, loss, or adverse effects as a result of another entity.
- F. None of above. chosen
Provenance (4 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
| PDg | Predicate description generation | batch_69fd884b9d908190833de9500ff6d62a |
completed | May 8, 2026, 6:52 a.m. |
Created at: May 3, 2026, 4:31 p.m.