Triple
T442021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV |
E10132
|
entity |
| Predicate | hasInternationalVersion |
P7228
|
FINISHED |
| Object | MTV Latin America |
E10132
|
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: MTV Latin America | Statement: [MTV, hasInternationalVersion, MTV Latin America]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTV Latin America Context triple: [MTV, hasInternationalVersion, MTV Latin America]
-
A.
MTV
chosen
MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
-
B.
Billboard Latin Music Awards
The Billboard Latin Music Awards is an annual awards ceremony that honors the most popular albums, songs, and performers in Latin music based on Billboard chart performance.
-
C.
El Latino
El Latino is the popular nickname of Estadio Latinoamericano, the iconic baseball stadium in Havana, Cuba.
-
D.
MEX
MEX is the IATA airport code for Mexico City International Airport, the main international gateway serving Mexico City and one of the busiest airports in Latin America.
-
E.
Top Latin Artist
Top Latin Artist is a Billboard Music Award category that honors the most successful Latin music performer of the year based on chart performance and industry metrics.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef42b4008190abed9d79926c7022 |
completed | Feb. 28, 2026, 1:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43e73555481909fc972eed3337945 |
completed | March 1, 2026, 1:26 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.