Triple
T6984775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Comprehensive Emergency Management Plan |
E161933
|
entity |
| Predicate | definesRolesFor |
P8683
|
FINISHED |
| Object | state agencies |
—
|
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: state agencies | Statement: [New York State Comprehensive Emergency Management Plan, definesRolesFor, state agencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesRolesFor Context triple: [New York State Comprehensive Emergency Management Plan, definesRolesFor, state agencies]
-
A.
definesRole
chosen
Indicates that one entity specifies or establishes the role, function, or position of another entity within a given context.
-
B.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
C.
assignsRoleTo
Indicates that one entity designates or grants a specific role or position to another entity.
-
D.
impliesRole
Indicates that one role logically entails or gives rise to another role within a given context or system.
-
E.
canonicalRole
Indicates that an entity holds a standard, primary, or officially recognized role within a particular context or system.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.