Triple
T7891150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juancho E. Yrausquin Airport |
E183236
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SAB
SAB is the three-letter IATA airport code for Juancho E. Yrausquin Airport, the small Caribbean airport serving the island of Saba in the Netherlands.
|
E696445
|
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: SAB | Statement: [Juancho E. Yrausquin Airport, IATAcode, SAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAB Context triple: [Juancho E. Yrausquin Airport, IATAcode, SAB]
-
A.
SAB
SAB is the School of American Ballet, a premier ballet academy in New York City that serves as the official training school for the New York City Ballet.
-
B.
SABE
SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
-
C.
SB
SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
-
D.
SB
SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
-
E.
SB
SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
- 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: SAB Triple: [Juancho E. Yrausquin Airport, IATAcode, SAB]
Generated description
SAB is the three-letter IATA airport code for Juancho E. Yrausquin Airport, the small Caribbean airport serving the island of Saba in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAB Target entity description: SAB is the three-letter IATA airport code for Juancho E. Yrausquin Airport, the small Caribbean airport serving the island of Saba in the Netherlands.
-
A.
SAB
SAB is the School of American Ballet, a premier ballet academy in New York City that serves as the official training school for the New York City Ballet.
-
B.
SABE
SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
-
C.
SB
SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
-
D.
SB
SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
-
E.
SB
SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ee137081908e87e35016c3a176 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba51ee48190b654a931da2c049f |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1e84fc8190b535016cb69405b4 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb769944d08190ba8c2f5fe76e037b |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5 p.m.