Triple
T34006822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KBLV |
E871987
|
entity |
| Predicate | supportsMilitaryAirlift |
P178676
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [KBLV, supportsMilitaryAirlift, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMilitaryAirlift Context triple: [KBLV, supportsMilitaryAirlift, yes]
-
A.
supportsAircraft
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an aircraft.
-
B.
supportsMedEvacOperations
Indicates the capability or role of providing assistance, resources, or infrastructure necessary to conduct medical evacuation operations.
-
C.
militarySupportActivity
Indicates an action where one entity provides military-related assistance, resources, or operational support to another.
-
D.
airliftedExternallyBy
Indicates that an entity is transported through the air by an external carrier or mechanism, rather than by its own power.
-
E.
airliftType
chosen
Indicates the specific method or category of air transport used to move people or goods, such as emergency, military, or logistical airlift.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:50 a.m.