Triple
T6640095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 1 (Cairo International Airport) |
E150564
|
entity |
| Predicate | hasIATACodeOfAirport |
P2569
|
FINISHED |
| Object | CAI |
E142329
|
NE 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: CAI | Statement: [Terminal 1 (Cairo International Airport), hasIATACodeOfAirport, CAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAI Context triple: [Terminal 1 (Cairo International Airport), hasIATACodeOfAirport, 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.
CADE
CADE is a leading international conference focused on research and advances in automated reasoning and automated theorem proving.
-
D.
CEI
CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
-
E.
CCA
CCA is the commonly used abbreviation for the Canada Council for the Arts, Canada’s national public arts funding and advocacy agency.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff1fe8081908c32db341b0fb354 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e455edb88190983f74f39e55665c |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2 p.m.