Triple
T13843174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Caraïbes French West Indies |
E332717
|
entity |
| Predicate | ICAOCompliance |
P97372
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Air Caraïbes French West Indies, ICAOCompliance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ICAOCompliance Context triple: [Air Caraïbes French West Indies, ICAOCompliance, yes]
-
A.
ICAOCompliant
chosen
Indicates that something adheres to the standards and regulations set by the International Civil Aviation Organization (ICAO).
-
B.
ICAOEngineCode
Indicates that an engine is identified or classified by a specific ICAO (International Civil Aviation Organization) engine code.
-
C.
hasICAOComplement
Indicates that one entity serves as an ICAO-standard complement or additional code/information corresponding to another entity’s primary ICAO designation.
-
D.
airworthinessStandard
Indicates that something complies with the required safety and performance criteria to be considered fit and legal for operation in aviation.
-
E.
ICAOField
Indicates a relationship where an entity is associated with a specific ICAO (International Civil Aviation Organization) code or field used for standardized aviation identification or data.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.