Triple
T2477847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selected Reserve |
E55130
|
entity |
| Predicate | hasReadinessCategory |
P11883
|
FINISHED |
| Object | highest readiness category within the Navy Reserve |
—
|
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: highest readiness category within the Navy Reserve | Statement: [Selected Reserve, hasReadinessCategory, highest readiness category within the Navy Reserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReadinessCategory Context triple: [Selected Reserve, hasReadinessCategory, highest readiness category within the Navy Reserve]
-
A.
readinessCategory
chosen
Indicates the classification of an entity based on its current level or state of preparedness for a given purpose or activity.
-
B.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
-
C.
hasReadingType
Indicates that an entity is associated with a specific category or mode of reading, such as a particular interpretation, format, or type of reading measurement.
-
D.
hasCategoryLevel
Indicates that something is associated with a specific hierarchical category or tier within a classification system.
-
E.
eligibilityCategory
Indicates the classification or type of eligibility that applies to an entity within a given context.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1eb3be481908fa7c6b8f1c78209 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b5e3d481909a5cbc4a96edd24f |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.