Triple
T10000865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strategic Airlift Capability |
E197320
|
entity |
| Predicate | providesToParticipants |
P91223
|
FINISHED |
| Object | shared strategic airlift hours |
—
|
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: shared strategic airlift hours | Statement: [Strategic Airlift Capability, providesToParticipants, shared strategic airlift hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesToParticipants Context triple: [Strategic Airlift Capability, providesToParticipants, shared strategic airlift hours]
-
A.
welcomesParticipantsOf
Indicates that one entity receives or greets the participants associated with another entity in a friendly or accepting manner.
-
B.
providesThat
Indicates that one entity stipulates, specifies, or sets forth a condition, rule, or provision that applies to another entity or situation.
-
C.
participationIncludes
Indicates that a broader participation instance encompasses or contains a more specific participation instance as part of it.
-
D.
participationModel
Indicates how entities are involved in or contribute to an activity, process, or interaction.
-
E.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8f50888190b2f1c5240cb58e4f |
completed | April 2, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:51 p.m.