Triple
T8569994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of American Ballet |
E202903
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SAB |
E202903
|
NE FINISHED |
How this triple was built (2 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: [School of American Ballet, abbreviation, SAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAB Context triple: [School of American Ballet, abbreviation, SAB]
-
A.
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.
-
B.
SAB
chosen
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.
-
C.
SABE
SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
-
D.
SB
SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
-
E.
SB
SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea4091f48190b5174d7a5cfd2bd8 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce897a958c81909b611fac377e26ca |
completed | April 2, 2026, 3:21 p.m. |
Created at: March 30, 2026, 6:21 p.m.