Triple
T16728085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marrakesh Menara Airport |
E406514
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | GMMX |
E406514
|
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: GMMX | Statement: [Marrakesh Menara Airport, ICAO code, GMMX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMMX Context triple: [Marrakesh Menara Airport, ICAO code, GMMX]
-
A.
GMMX
chosen
GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
-
B.
GMMN
GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
-
C.
GAMM
GAMM is a European scientific society focused on applied mathematics and mechanics that played a key role in the early development of programming languages.
-
D.
MXM
MXM is a fashion brand or modeling agency associated with American model and actress Mia Tyler.
-
E.
MMG
MMG, or Maybach Music Group, is a hip-hop record label founded by rapper Rick Ross that has featured artists like Wale and Meek Mill.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38749baa48190892b2e2b978f6eb6 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a519a89081909456bb6fc25d9234 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:20 a.m.