Triple
T17355261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baza 90 Transport Aerian Otopeni |
E421916
|
entity |
| Predicate | supportsOperationsType |
P24486
|
FINISHED |
| Object | national military transport |
—
|
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: national military transport | Statement: [Baza 90 Transport Aerian Otopeni, supportsOperationsType, national military transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsOperationsType Context triple: [Baza 90 Transport Aerian Otopeni, supportsOperationsType, national military transport]
-
A.
supportsOperationsIn
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
-
B.
supportsOperationsWith
Indicates that one entity enables, facilitates, or is compatible with the execution of operations involving another entity.
-
C.
operationSupported
Indicates that a particular operation is available and can be performed or handled by a given entity or system.
-
D.
supportsType
chosen
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
E.
hasOperationType
Indicates the specific kind or category of operation associated with an entity or process.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2f26548190a8822b2470ec3c72 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.