Triple
T2661862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behavioral Risk Factor Surveillance System |
E54741
|
entity |
| Predicate | collectsInformationOn |
P41259
|
FINISHED |
| Object | tobacco use |
—
|
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: tobacco use | Statement: [Behavioral Risk Factor Surveillance System, collectsInformationOn, tobacco use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectsInformationOn Context triple: [Behavioral Risk Factor Surveillance System, collectsInformationOn, tobacco use]
-
A.
providesInformationIn
Indicates that one entity supplies or conveys information within or through another entity or context.
-
B.
collectedThrough
Indicates that something was obtained, gathered, or acquired by means of a specified process, method, or channel.
-
C.
requiredInformation
Indicates that certain data or details are necessary and must be provided for a process, action, or relationship to proceed or be valid.
-
D.
checksInformationFrom
Indicates that one entity verifies, reviews, or consults information originating from another entity.
-
E.
usesInformationSources
Indicates that an entity relies on or consults specified information sources to perform actions, make decisions, or obtain knowledge.
- 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_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. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:53 p.m.