Triple
T2661818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Notifiable Diseases Surveillance System |
E54740
|
entity |
| Predicate | dataFlow |
P9929
|
FINISHED |
| Object | from states and territories to CDC |
—
|
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: from states and territories to CDC | Statement: [National Notifiable Diseases Surveillance System, dataFlow, from states and territories to CDC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataFlow Context triple: [National Notifiable Diseases Surveillance System, dataFlow, from states and territories to CDC]
-
A.
dataFlowDirection
chosen
Indicates the direction in which data moves or is transmitted from a source entity to a target entity.
-
B.
flowsFrom
Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
-
C.
flowType
Indicates the kind or category of flow (such as direction, pattern, or mode of movement/transfer) that characterizes the relationship between entities.
-
D.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
E.
flowsGenerallyDirection
Indicates that something typically moves or progresses in a particular overall direction, without requiring an exact or constant path.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd969eff08190a206ad6424ba34d6 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.