Triple
T16776256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Rodolfo Sánchez Taboada International Airport |
E407730
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | MMML |
E1147491
|
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: MMML | Statement: [General Rodolfo Sánchez Taboada International Airport, ICAOcode, MMML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MMML Context triple: [General Rodolfo Sánchez Taboada International Airport, ICAOcode, MMML]
-
A.
MMML
chosen
MMML is the ICAO airport code for Mexicali International Airport in Mexicali, Baja California, Mexico.
-
B.
MML
MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
-
C.
MMLM
MMLM is the ICAO airport code for Los Mochis International Airport in Sinaloa, Mexico.
-
D.
MM
MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
-
E.
MMM
MMM is a post-nominal designation signifying membership in the Order of Military Merit, a Canadian honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b03a646c8190b3944c9f0c25af27 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafe1f8081909b9540aca6e7b9b7 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.