Triple
T28559864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watch and Warning staff |
E723106
|
entity |
| Predicate | mayBeEmployedBy |
P145597
|
FINISHED |
| Object | government emergency management 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: government emergency management agencies | Statement: [Watch and Warning staff, mayBeEmployedBy, government emergency management agencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeEmployedBy Context triple: [Watch and Warning staff, mayBeEmployedBy, government emergency management agencies]
-
A.
mayWorkIn
Indicates that an entity is allowed or has the possibility to work in a particular place, organization, or context.
-
B.
mayHaveRole
Indicates that an entity is permitted or eligible to hold or perform a specified role.
-
C.
mayBeOccupationOf
Indicates that something is a possible or potential occupation held by a given entity.
-
D.
canHire
Indicates that one entity has the authority or ability to employ or recruit another entity.
-
E.
employedUnder
chosen
Indicates that one entity works as an employee under the authority, supervision, or organizational structure of another entity.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 28, 2026, 3:48 a.m.