Triple
T16776255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Rodolfo Sánchez Taboada International Airport |
E407730
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | MXL |
E1147490
|
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: MXL | Statement: [General Rodolfo Sánchez Taboada International Airport, IATAcode, MXL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MXL Context triple: [General Rodolfo Sánchez Taboada International Airport, IATAcode, MXL]
-
A.
MXL
chosen
MXL is the IATA airport code for Mexicali International Airport, serving the city of Mexicali in Baja California, Mexico.
-
B.
MXM
MXM is a fashion brand or modeling agency associated with American model and actress Mia Tyler.
-
C.
MXMID
MXMID is the UN/LOCODE identifier for the city and port of Mérida in Mexico, used in international trade and transport logistics.
-
D.
MVL
MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
-
E.
MVL
MVL is the three-letter National Rail station code for Malvern Link railway station in Worcestershire, England.
- 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.