Triple
T37694637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cronos Airlines |
E938894
|
entity |
| Predicate | IATACountryOfRegistration |
P7983
|
FINISHED |
| Object | Equatorial Guinea |
—
|
NE NERFINISHED |
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: Equatorial Guinea | Statement: [Cronos Airlines, IATACountryOfRegistration, Equatorial Guinea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IATACountryOfRegistration Context triple: [Cronos Airlines, IATACountryOfRegistration, Equatorial Guinea]
-
A.
countryOfRegistry
chosen
Indicates the country in which an entity (such as a ship, aircraft, or company) is officially registered.
-
B.
ICAORegion
Indicates that an entity is located within, associated with, or governed by a specific ICAO (International Civil Aviation Organization) region.
-
C.
aircraftOriginCountry
Indicates the country from which an aircraft originates, such as where it was built, registered, or primarily associated.
-
D.
ICAOTypeDesignator
Indicates the standardized aircraft type code assigned by ICAO that specifies the model or family of an aircraft used in aviation operations and documentation.
-
E.
hasIcaoRegion
Indicates that an entity is associated with a specific ICAO (International Civil Aviation Organization) region.
- 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.