Triple
T13878102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDAA |
E333634
|
entity |
| Predicate | isPartOfDefenseInfrastructure |
P66390
|
FINISHED |
| Object | U.S. military airfield network |
—
|
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: U.S. military airfield network | Statement: [KDAA, isPartOfDefenseInfrastructure, U.S. military airfield network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfDefenseInfrastructure Context triple: [KDAA, isPartOfDefenseInfrastructure, U.S. military airfield network]
-
A.
defenseInfrastructure
Indicates the existence or involvement of physical or organizational structures and facilities that support defense or protective capabilities between the related entities.
-
B.
partOfDefenseLine
chosen
Indicates that one entity functions as a component or segment within the overall defensive formation or system of another entity.
-
C.
isMilitaryInstallation
Indicates that a location functions as a military facility or base used for defense, training, operations, or related armed forces activities.
-
D.
isPartOfInfrastructure
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
E.
nearMilitaryInstallation
Indicates that one entity is located in close physical proximity to a military installation or facility.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:15 p.m.