Triple
T4074653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIM |
E86732
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object | JetSmart Perú |
E88777
|
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: JetSmart Perú | Statement: [LIM, isHubFor, JetSmart Perú]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JetSmart Perú Context triple: [LIM, isHubFor, JetSmart Perú]
-
A.
JetSmart Perú
chosen
JetSmart Perú is a Peruvian low-cost airline operating domestic and regional flights as part of the South American JetSmart network.
-
B.
Sky Airline Perú
Sky Airline Perú is a Peruvian low-cost carrier operating domestic and regional flights, functioning as the local subsidiary of Chilean airline Sky Airline.
-
C.
JetSMART
JetSMART is a Chilean low-cost airline operating domestic and regional flights across South America.
-
D.
Sky Airline
Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
-
E.
Lima Airport Partners
Lima Airport Partners is a private consortium responsible for managing and developing Peru’s main air hub, Jorge Chávez International Airport in Lima.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc245d888190ae773f9c3077953b |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562bc05948190a9ad709768420588 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:39 p.m.