Triple
T26256127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disaster Mortuary Operational Response Teams |
E656716
|
entity |
| Predicate | activationBy |
P164199
|
FINISHED |
| Object | U.S. federal government |
—
|
NE NERFINISHED |
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: U.S. federal government | Statement: [Disaster Mortuary Operational Response Teams, activationBy, U.S. federal government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activationBy Context triple: [Disaster Mortuary Operational Response Teams, activationBy, U.S. federal government]
-
A.
activationType
Indicates the specific manner or mechanism by which an activation or triggering event occurs between entities.
-
B.
activatedAs
Indicates that one entity has been put into an active or operational state in the role or capacity of another specified entity.
-
C.
activatedFor
Indicates that something has been enabled, triggered, or made operational specifically on behalf of or in the context of a particular entity or target.
-
D.
activationStatus
Indicates whether an entity is currently active, enabled, or in effect within a given context.
-
E.
activeWith
Indicates that an entity is currently engaged in or functioning together with another specified entity.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f643c204508190a43fe0ec5165b01c |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 26, 2026, 9:08 p.m.