Triple
T7283124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congo Airways |
E163798
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
CGA
CGA is the ICAO airline designator assigned to Congo Airways, the flag carrier of the Democratic Republic of the Congo.
|
E654232
|
NE FINISHED |
How this triple was built (4 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: CGA | Statement: [Congo Airways, ICAOCode, CGA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CGA Context triple: [Congo Airways, ICAOCode, CGA]
-
A.
CGA
CGA (Color Graphics Adapter) is IBM's early color display standard for the original IBM PC, capable of low-resolution graphics and basic color text output.
-
B.
GCA
GCA is a landmark U.S. federal law enacted in 1968 that regulates the firearms industry and gun sales, including licensing, prohibited persons, and interstate commerce in weapons.
-
C.
CGF
CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
-
D.
CGR
CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
-
E.
GDI
GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CGA Triple: [Congo Airways, ICAOCode, CGA]
Generated description
CGA is the ICAO airline designator assigned to Congo Airways, the flag carrier of the Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CGA Target entity description: CGA is the ICAO airline designator assigned to Congo Airways, the flag carrier of the Democratic Republic of the Congo.
-
A.
CGA
CGA (Color Graphics Adapter) is IBM's early color display standard for the original IBM PC, capable of low-resolution graphics and basic color text output.
-
B.
GCA
GCA is a landmark U.S. federal law enacted in 1968 that regulates the firearms industry and gun sales, including licensing, prohibited persons, and interstate commerce in weapons.
-
C.
CGF
CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
-
D.
CGR
CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
-
E.
GDI
GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
- F. None of above. chosen
Provenance (5 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4ec2088190a6713eaa221d49a6 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3ae6a08190820c7096cbfea521 |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dbe3e2ac8190a112ff01244f6a81 |
completed | March 28, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dfc15d2c8190afcf8572ff3dbb6d |
completed | March 28, 2026, 2:03 p.m. |
Created at: March 27, 2026, 2:59 p.m.