Triple
T5529000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expert Field Medical Badge |
E144998
|
entity |
| Predicate | frequencyOfTesting |
P16914
|
FINISHED |
| Object | periodic testing events at major Army installations |
—
|
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: periodic testing events at major Army installations | Statement: [Expert Field Medical Badge, frequencyOfTesting, periodic testing events at major Army installations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyOfTesting Context triple: [Expert Field Medical Badge, frequencyOfTesting, periodic testing events at major Army installations]
-
A.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
-
B.
performedFrequency
chosen
Indicates how often an action or activity is carried out within a given time period.
-
C.
serviceFrequencyContext
Indicates the contextual conditions or circumstances under which a service’s frequency is defined, applied, or interpreted.
-
D.
frequentSettingType
Indicates that an entity commonly or regularly occurs, operates, or is used in a particular type of setting or environment.
-
E.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f996e088190844cba2c4458bd76 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.