Triple
T2411383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BOG |
E52196
|
entity |
| Predicate | focusCityFor |
P164
|
FINISHED |
| Object | Viva Air Colombia |
E53466
|
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: Viva Air Colombia | Statement: [BOG, focusCityFor, Viva Air Colombia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viva Air Colombia Context triple: [BOG, focusCityFor, Viva Air Colombia]
-
A.
Viva Air Colombia
chosen
Viva Air Colombia was a Colombian low-cost airline known for operating domestic and regional flights across Latin America.
-
B.
Viva Aerobus
Viva Aerobus is a Mexican low-cost airline known for offering budget-friendly domestic and regional flights across Mexico and select international destinations.
-
C.
Sky Airline
Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
-
D.
Avianca
Avianca is Colombia’s flagship airline and one of Latin America’s largest carriers, operating an extensive domestic and international route network.
-
E.
Mango Airlines
Mango Airlines is a South African low-cost airline that operated domestic and regional flights as a budget subsidiary of South African Airways.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc928fd608190885fcde6746a06bc |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3f00cc481909c2841a6f2ebadad |
completed | March 9, 2026, 11:50 a.m. |
Created at: March 6, 2026, 9:41 p.m.