Triple
T20225143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salgado Filho International Airport |
E495357
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SBPA
SBPA is the ICAO airport code for Salgado Filho International Airport, the main airport serving Porto Alegre in southern Brazil.
|
E1419450
|
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: SBPA | Statement: [Salgado Filho International Airport, ICAOcode, SBPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SBPA Context triple: [Salgado Filho International Airport, ICAOcode, SBPA]
-
A.
SBPA
SBPA is the acronym for the School of Business and Public Administration, an academic unit focused on education and research in business and public sector management.
-
B.
BSAP
BSAP is an environmental program aimed at restoring the ecological health of the Baltic Sea through coordinated actions by the surrounding countries.
-
C.
SBP
SBP is the National Rail station code for Stonebridge Park railway station in northwest London, England.
-
D.
SBP
SBP is a federally assisted meal program in the United States that provides nutritious breakfasts to schoolchildren to support their health and learning.
-
E.
SBP
SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
- 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: SBPA Triple: [Salgado Filho International Airport, ICAOcode, SBPA]
Generated description
SBPA is the ICAO airport code for Salgado Filho International Airport, the main airport serving Porto Alegre in southern Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SBPA Target entity description: SBPA is the ICAO airport code for Salgado Filho International Airport, the main airport serving Porto Alegre in southern Brazil.
-
A.
SBPA
SBPA is the acronym for the School of Business and Public Administration, an academic unit focused on education and research in business and public sector management.
-
B.
BSAP
BSAP is an environmental program aimed at restoring the ecological health of the Baltic Sea through coordinated actions by the surrounding countries.
-
C.
SBP
SBP is the National Rail station code for Stonebridge Park railway station in northwest London, England.
-
D.
SBP
SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
-
E.
SBP
SBP is a federally assisted meal program in the United States that provides nutritious breakfasts to schoolchildren to support their health and learning.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd8f1948190adbb947a7870bb43 |
completed | April 20, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b887c6081908fc79047cf4f73c6 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c6561ec8190b1eee3d94aeb5009 |
completed | May 16, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084d0ac2f881909be142d6b30cc9ec |
completed | May 16, 2026, 10:55 a.m. |
Created at: April 11, 2026, 11:39 p.m.