Triple
T21557893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayak |
E531939
|
entity |
| Predicate | hasAirBaseFunction |
P144235
|
FINISHED |
| Object | Lebanese Air Force operations |
—
|
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: Lebanese Air Force operations | Statement: [Rayak, hasAirBaseFunction, Lebanese Air Force operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirBaseFunction Context triple: [Rayak, hasAirBaseFunction, Lebanese Air Force operations]
-
A.
isAirBase
Indicates that the subject entity functions as a military air base, i.e., a facility used for operating, housing, and supporting aircraft and related activities.
-
B.
usesAirbase
Indicates that one entity operates from, accesses, or conducts activities at a particular airbase.
-
C.
usesAirbaseType
Indicates that one entity makes use of, operates from, or is otherwise functionally associated with a particular type or category of airbase.
-
D.
hasReuseOfAirBase
Indicates that one entity makes use of an air base that is originally owned, operated, or primarily used by another entity.
-
E.
hasTacticalAviationFacilities
Indicates that an entity possesses or hosts infrastructure and resources specifically designated for tactical aviation operations.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e14af88190bc70b4d0f3453aac |
completed | April 27, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:29 p.m.