Triple
T6482721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Naval Medical Center |
E146431
|
entity |
| Predicate | treatsPopulation |
P17586
|
FINISHED |
| Object | active duty military personnel |
—
|
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: active duty military personnel | Statement: [National Naval Medical Center, treatsPopulation, active duty military personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsPopulation Context triple: [National Naval Medical Center, treatsPopulation, active duty military personnel]
-
A.
targetedPopulation
chosen
Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
-
B.
supportedPopulation
Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
-
C.
introducedPopulation
Indicates that a population of organisms has been brought by humans into a region where it did not previously occur naturally.
-
D.
governedPopulation
Indicates that one entity serves as the governing authority over the population of another entity.
-
E.
dividedPopulationOf
Indicates that a population has been split into distinct subgroups or segments, typically based on specified criteria or characteristics.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6cd0c4819085a921e6a361d91c |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:51 p.m.