Triple
T2633554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Paulo–Guarulhos International Airport |
E59690
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SBGR
SBGR is the ICAO airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
|
E284206
|
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: SBGR | Statement: [São Paulo–Guarulhos International Airport, ICAOcode, SBGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SBGR Context triple: [São Paulo–Guarulhos International Airport, ICAOcode, SBGR]
-
A.
SBGL
SBGL is the ICAO airport code for Rio de Janeiro–Galeão International Airport, a major international gateway serving Rio de Janeiro, Brazil.
-
B.
SBGI
SBGI is the stock ticker symbol for Sinclair Broadcast Group, a major American telecommunications company and television station owner.
-
C.
SBRY
SBRY is the London Stock Exchange ticker symbol for J Sainsbury plc, one of the United Kingdom’s largest supermarket and retail chains.
-
D.
BGR
BGR is the three-letter ISO 3166-1 alpha-3 country code assigned to Bulgaria.
-
E.
BGY
BGY is the IATA airport code for Milan Bergamo Airport, a major low-cost and regional air travel hub serving the Milan metropolitan area in northern Italy.
- 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: SBGR Triple: [São Paulo–Guarulhos International Airport, ICAOcode, SBGR]
Generated description
SBGR is the ICAO airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SBGR Target entity description: SBGR is the ICAO airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
-
A.
SBGL
SBGL is the ICAO airport code for Rio de Janeiro–Galeão International Airport, a major international gateway serving Rio de Janeiro, Brazil.
-
B.
SBGI
SBGI is the stock ticker symbol for Sinclair Broadcast Group, a major American telecommunications company and television station owner.
-
C.
SBRY
SBRY is the London Stock Exchange ticker symbol for J Sainsbury plc, one of the United Kingdom’s largest supermarket and retail chains.
-
D.
BGR
BGR is the three-letter ISO 3166-1 alpha-3 country code assigned to Bulgaria.
-
E.
BGY
BGY is the IATA airport code for Milan Bergamo Airport, a major low-cost and regional air travel hub serving the Milan metropolitan area in northern Italy.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c8d32c819081fc89b91217ed54 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a996188190b3a83a31e69d09ef |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af9172ba248190bbc68a00b43d9b44 |
completed | March 10, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9253953c8190a8e18c92d66263cc |
completed | March 10, 2026, 3:38 a.m. |
Created at: March 6, 2026, 9:50 p.m.