Triple
T224854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haiti |
E4291
|
entity |
| Predicate | publicHealthChallenge |
P2189
|
FINISHED |
| Object | cholera outbreaks |
—
|
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: cholera outbreaks | Statement: [Haiti, publicHealthChallenge, cholera outbreaks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicHealthChallenge Context triple: [Haiti, publicHealthChallenge, cholera outbreaks]
-
A.
hasChallenge
chosen
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
B.
challengedConcept
Indicates that one entity has questioned, disputed, or called into doubt the validity, accuracy, or applicability of a particular concept.
-
C.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
D.
socialImpact
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
-
E.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b5739dc8190bad8bfa330ce0499 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.