Triple
T12868591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanajuato International Airport |
E307785
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | MX |
E686
|
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: MX | Statement: [Guanajuato International Airport, countryCode, MX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MX Context triple: [Guanajuato International Airport, countryCode, MX]
-
A.
MX
chosen
MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
-
B.
MX
MX is a specific trim level designation used for the Mercury Montego sedan, denoting a particular configuration of features and equipment.
-
C.
MX
MX is the IATA airline designator assigned to Breeze Airways, a U.S.-based low-cost carrier.
-
D.
XM
XM is the IATA airline designator assigned to J-Air, a regional commuter airline based in Japan and affiliated with Japan Airlines.
-
E.
MAX
MAX is a family of low-cost, high-density CPLD (Complex Programmable Logic Device) products developed by Altera for implementing customizable digital logic functions.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708f510c8190b4c64dc340420e85 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb26eb08190912d0b44c345bf41 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.