Triple
T2628585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauhava Air Base |
E59178
|
entity |
| Predicate | hasCivilUse |
P23908
|
FINISHED |
| Object | general aviation |
—
|
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: general aviation | Statement: [Kauhava Air Base, hasCivilUse, general aviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCivilUse Context triple: [Kauhava Air Base, hasCivilUse, general aviation]
-
A.
civilianUse
chosen
Indicates that something is intended for, suitable for, or actually used by civilians rather than military or combat purposes.
-
B.
hasSecularUse
Indicates that something is used in a non-religious, worldly, or secular context or purpose.
-
C.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
D.
hasOfficialUse
Indicates that something is used in an authorized or formally recognized capacity, typically by an official body or for official purposes.
-
E.
hasCivilDivision
Indicates that one administrative or political entity is subdivided into, or is associated with, a specific civil division (such as a county, district, or municipality).
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.