Triple
T17324330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammed V International Airport |
E420646
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | GMMN |
E420647
|
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: GMMN | Statement: [Mohammed V International Airport, ICAOCode, GMMN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMMN Context triple: [Mohammed V International Airport, ICAOCode, GMMN]
-
A.
GMMN
chosen
GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
-
B.
GMMX
GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
-
C.
NMM
NMM is the IATA airport code for Naval Air Station Meridian, a U.S. Navy air training facility in Mississippi.
-
D.
MMNL
MMNL is the ICAO airport code assigned to Quetzalcóatl International Airport in Nuevo Laredo, Mexico.
-
E.
G3M3
The G3M3 is an improved later variant of the Mitsubishi G3M Japanese twin-engine long-range bomber, featuring enhanced performance and reliability.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d18e3081908ca15baa743abcd8 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4a6630819082998cf754e8361f |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.