Triple
T11467016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDC Category A agent |
E271803
|
entity |
| Predicate | associatedWithGuideline |
P81177
|
FINISHED |
| Object | CDC bioterrorism response guidelines |
—
|
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: CDC bioterrorism response guidelines | Statement: [CDC Category A agent, associatedWithGuideline, CDC bioterrorism response guidelines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithGuideline Context triple: [CDC Category A agent, associatedWithGuideline, CDC bioterrorism response guidelines]
-
A.
hasGuideline
chosen
Indicates that one entity is governed, informed, or constrained by a rule, standard, or recommended procedure provided by another entity.
-
B.
usesGuidelines
Indicates that one entity follows or applies a specified set of guidelines in performing an action or making decisions.
-
C.
notableGuideline
Indicates that something is recognized as an important or especially significant rule, principle, or recommended practice.
-
D.
hasGuidelineCount
Indicates the number of guidelines associated with or applicable to a given entity.
-
E.
guidelineNumber
Indicates the specific numeric identifier assigned to a guideline within a set of rules, standards, or recommendations.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.