Triple
T10413262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EgyptAir Flight 990 |
E245447
|
entity |
| Predicate | destinationAirportCode |
P16154
|
FINISHED |
| Object | CAI |
E142329
|
NE FINISHED |
How this triple was built (3 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: CAI | Statement: [EgyptAir Flight 990, destinationAirportCode, CAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAI Context triple: [EgyptAir Flight 990, destinationAirportCode, CAI]
-
A.
CAI
chosen
CAI is the three-letter IATA airport code for Cairo International Airport, the main international gateway to Cairo, Egypt.
-
B.
CAE
CAE (Computer-Aided Engineering) is the use of computer software to simulate, analyze, and optimize engineering designs and processes.
-
C.
CAE
CAE is the IATA airport code for Columbia Metropolitan Airport, the primary commercial airport serving Columbia, South Carolina.
-
D.
CAE
CAE is a Canadian multinational company specializing in simulation and training solutions, particularly for civil aviation, defense, and healthcare industries.
-
E.
CADE
CADE is a leading international conference focused on research and advances in automated reasoning and automated theorem proving.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destinationAirportCode Context triple: [EgyptAir Flight 990, destinationAirportCode, CAI]
-
A.
destinationAirportOfHijackedFlight
Indicates the airport that served or was intended to serve as the destination of a hijacked flight.
-
B.
typicalDestinationAirportIATA
Indicates the IATA airport code that is typically the destination in this kind of trip or route.
-
C.
destinationOfFlight
chosen
Indicates the location or place to which a given flight is traveling or scheduled to arrive.
-
D.
destinationCity
Indicates the city to which an entity is traveling, being sent, or ultimately directed.
-
E.
destinationAirportAtTimeOfCrash
Indicates the airport that was the intended destination of a flight at the time the crash occurred.
- F. None of above.
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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc043074819083d219ec1c40f931 |
completed | April 9, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:10 p.m.