Triple
T2649634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 22nd Marine Expeditionary Unit |
E53864
|
entity |
| Predicate | readiness |
P11883
|
FINISHED |
| Object | rapidly deployable |
—
|
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: rapidly deployable | Statement: [22nd Marine Expeditionary Unit, readiness, rapidly deployable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readiness Context triple: [22nd Marine Expeditionary Unit, readiness, rapidly deployable]
-
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.
availability
Indicates that an entity is present, accessible, or ready for use or interaction by another entity.
-
C.
ability
Indicates that an entity has the capacity or power to perform a particular action or achieve a specific outcome.
-
D.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
boarding
Indicates that one entity is getting onto or entering a vehicle, vessel, or similar conveyance associated with 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91ca1288190ba302b04bac4c153 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.