Triple
T13536298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calafia Airlines |
E323269
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
CALAFIA
CALAFIA is the radio callsign used by Calafia Airlines, a regional carrier based in Mexico.
|
E1046603
|
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: CALAFIA | Statement: [Calafia Airlines, callsign, CALAFIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CALAFIA Context triple: [Calafia Airlines, callsign, CALAFIA]
-
A.
Calca
Calca is a small Andean town in Peru’s Sacred Valley, known for its traditional Quechua culture and proximity to Inca archaeological sites.
-
B.
Cocamilla
Cocamilla are an Indigenous people of the western Amazon, closely related to the Cocama, traditionally inhabiting riverine areas of Peru and neighboring regions.
-
C.
Calhau
Calhau is a small coastal settlement on the Cape Verdean island of São Vicente, known for its quiet beaches and traditional fishing activity.
-
D.
Marchena
Marchena is a historic town in the province of Seville, Andalusia, southern Spain, known for its rich architectural heritage and traditional Andalusian culture.
-
E.
Tucabia
Tucabia is a small rural village in New South Wales, Australia, situated within the Clarence Valley region and known for its quiet, agricultural character.
- 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: CALAFIA Triple: [Calafia Airlines, callsign, CALAFIA]
Generated description
CALAFIA is the radio callsign used by Calafia Airlines, a regional carrier based in Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CALAFIA Target entity description: CALAFIA is the radio callsign used by Calafia Airlines, a regional carrier based in Mexico.
-
A.
Calca
Calca is a small Andean town in Peru’s Sacred Valley, known for its traditional Quechua culture and proximity to Inca archaeological sites.
-
B.
Cocamilla
Cocamilla are an Indigenous people of the western Amazon, closely related to the Cocama, traditionally inhabiting riverine areas of Peru and neighboring regions.
-
C.
Calhau
Calhau is a small coastal settlement on the Cape Verdean island of São Vicente, known for its quiet beaches and traditional fishing activity.
-
D.
Marchena
Marchena is a historic town in the province of Seville, Andalusia, southern Spain, known for its rich architectural heritage and traditional Andalusian culture.
-
E.
Tucabia
Tucabia is a small rural village in New South Wales, Australia, situated within the Clarence Valley region and known for its quiet, agricultural character.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9a448c81908fa57a909a9097f7 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75e7d8970819092116ae7a769ac21 |
completed | May 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f35c6008190b88e14feddb93a1d |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:44 p.m.