Triple
T11911905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AZU |
E283415
|
entity |
| Predicate | airlineFocusCityCountry |
P1295
|
FINISHED |
| Object | Brazil |
E19289
|
NE FINISHED |
How this triple was built (3 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: Brazil | Statement: [AZU, airlineFocusCityCountry, Brazil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brazil Context triple: [AZU, airlineFocusCityCountry, Brazil]
-
A.
Brazil
chosen
Brazil is the largest country in South America, known for its vast Amazon rainforest, diverse culture, and major cities like São Paulo and Rio de Janeiro.
-
B.
Brazil
Brazil is a 1985 dystopian science fiction film known for its darkly satirical portrayal of a bureaucratic, totalitarian society and its distinctive, surreal visual style.
-
C.
Brasyl
Brasyl is a science fiction novel by Ian McDonald that intertwines multiple timelines in Brazil to explore themes of quantum reality, culture, and globalization.
-
D.
Portela
Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
-
E.
Republic of the United States of Brazil
The Republic of the United States of Brazil was the federal republican regime that succeeded the Brazilian monarchy in 1889 and governed Brazil through much of the 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineFocusCityCountry Context triple: [AZU, airlineFocusCityCountry, Brazil]
-
A.
airlineBaseCity
Indicates the city that serves as the primary operational base or headquarters location for an airline.
-
B.
hasFocusCityAirline
chosen
Indicates that an airline designates a particular city as one of its focus cities, where it concentrates a significant portion of its operations without it necessarily being a primary hub.
-
C.
airlineHub
Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
-
D.
operatorMainHubAirportCountry
Indicates that an operator’s primary hub airport is located in the specified country.
-
E.
linkedAirlineHeadquartersLocation
Indicates that an airline’s headquarters is located in the specified place or facility.
- F. None of above.
Provenance (4 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4586898888190b58e3102d7edf7df |
completed | May 1, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.