Triple
T34069212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Moshe |
E873717
|
entity |
| Predicate | airliftType |
P178676
|
FINISHED |
| Object | civilian and military aircraft |
—
|
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: civilian and military aircraft | Statement: [Operation Moshe, airliftType, civilian and military aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airliftType Context triple: [Operation Moshe, airliftType, civilian and military aircraft]
-
A.
airliftedExternallyBy
Indicates that an entity is transported through the air by an external carrier or mechanism, rather than by its own power.
-
B.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
C.
aircraftTypesCarried
Indicates that one entity (typically a vessel, facility, or platform) carries or is capable of carrying specific types of aircraft as part of its operations or configuration.
-
D.
airliftOrganizedBy
Indicates that an airlift operation is planned, coordinated, or managed by a specified organizing entity.
-
E.
airshipTypeUsedWith
Indicates that a particular type of airship is typically or appropriately used in conjunction with a given object, system, or context.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:52 a.m.