Triple
T7302643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brasília International Airport |
E167894
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
BSB
BSB is the IATA airport code for Brasília International Airport, the main air gateway serving Brazil’s capital city.
|
E654889
|
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: BSB | Statement: [Brasília International Airport, IATAcode, BSB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BSB Context triple: [Brasília International Airport, IATAcode, BSB]
-
A.
BSB
BSB is the commonly used abbreviation for the Bar Standards Board, the regulatory body for barristers and specialised legal services in England and Wales.
-
B.
BSB
BSB is the railway station code for Varanasi Junction, a major rail hub in the Indian state of Uttar Pradesh.
-
C.
BSC
BSC was the New York Stock Exchange ticker symbol for Bear Stearns, a major U.S. investment bank that collapsed during the 2008 financial crisis.
-
D.
BSC
BSC is the professional association representing British cinematographers, dedicated to promoting and advancing the art and craft of cinematography in the UK film and television industry.
-
E.
BSC
BSC is the commonly used acronym for the Big Sky Conference, an NCAA Division I athletic conference primarily featuring universities in the western United States.
- 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: BSB Triple: [Brasília International Airport, IATAcode, BSB]
Generated description
BSB is the IATA airport code for Brasília International Airport, the main air gateway serving Brazil’s capital city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BSB Target entity description: BSB is the IATA airport code for Brasília International Airport, the main air gateway serving Brazil’s capital city.
-
A.
BSB
BSB is the commonly used abbreviation for the Bar Standards Board, the regulatory body for barristers and specialised legal services in England and Wales.
-
B.
BSB
BSB is the railway station code for Varanasi Junction, a major rail hub in the Indian state of Uttar Pradesh.
-
C.
BSC
BSC was the New York Stock Exchange ticker symbol for Bear Stearns, a major U.S. investment bank that collapsed during the 2008 financial crisis.
-
D.
BSC
BSC is the professional association representing British cinematographers, dedicated to promoting and advancing the art and craft of cinematography in the UK film and television industry.
-
E.
BSC
BSC is the commonly used acronym for the Big Sky Conference, an NCAA Division I athletic conference primarily featuring universities in the western United States.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e558098c819091562566c59332e2 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e6671e2c8190aed42aa673540efa |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e6cd820881909ef8fd3bc28d2716 |
completed | March 28, 2026, 2:33 p.m. |
Created at: March 27, 2026, 3:01 p.m.