Triple
T4188109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Airline Perú |
E88362
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
SKY PERU
SKY PERU is the callsign used by Sky Airline Perú, a Peruvian low-cost carrier operating domestic and regional flights.
|
E419621
|
NE FINISHED |
How this triple was built (4 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: SKY PERU | Statement: [Sky Airline Perú, callsign, SKY PERU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKY PERU Context triple: [Sky Airline Perú, callsign, SKY PERU]
-
A.
Qhapaq Ñan
Qhapaq Ñan is the vast Andean road system built by the Inca civilization, spanning thousands of kilometers to connect major centers across their mountainous empire.
-
B.
Pichasca
Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
-
C.
Chosica, Peru
Chosica, Peru is a town in the Lima Region known as a residential and recreational area east of Lima, serving as a local commercial and religious center.
-
D.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
E.
Sépaq
Sépaq is Quebec’s provincial agency responsible for managing and promoting many of the province’s national parks, wildlife reserves, and major natural tourist attractions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SKY PERU Triple: [Sky Airline Perú, callsign, SKY PERU]
Generated description
SKY PERU is the callsign used by Sky Airline Perú, a Peruvian low-cost carrier operating domestic and regional flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKY PERU Target entity description: SKY PERU is the callsign used by Sky Airline Perú, a Peruvian low-cost carrier operating domestic and regional flights.
-
A.
Qhapaq Ñan
Qhapaq Ñan is the vast Andean road system built by the Inca civilization, spanning thousands of kilometers to connect major centers across their mountainous empire.
-
B.
Pichasca
Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
-
C.
Chosica, Peru
Chosica, Peru is a town in the Lima Region known as a residential and recreational area east of Lima, serving as a local commercial and religious center.
-
D.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
E.
Sépaq
Sépaq is Quebec’s provincial agency responsible for managing and promoting many of the province’s national parks, wildlife reserves, and major natural tourist attractions.
- F. None of above. chosen
Provenance (5 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0325a82c8190849d8a828e2c7b44 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a034f6481909a3126d8832f7821 |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58abc256c8190ad37c8d213b8f11e |
completed | March 14, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b41916c81909eb2e5ab482a5fe1 |
completed | March 14, 2026, 4:22 p.m. |
Created at: March 9, 2026, 3:45 p.m.