Triple
T23439053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornholm Airport |
E565344
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | RNN |
—
|
NE NERFINISHED |
How this triple was built (3 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: RNN | Statement: [Bornholm Airport, IATAcode, RNN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RNN Context triple: [Bornholm Airport, IATAcode, RNN]
-
A.
recurrent neural networks
Recurrent neural networks are a class of artificial neural networks designed to process sequential data by maintaining and updating a hidden state that captures information over time.
-
B.
LSTM networks
LSTM networks are a type of recurrent neural network architecture designed to effectively capture long-term dependencies in sequential data by using gated memory cells.
-
C.
GRU
GRU is the IATA airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
-
D.
GRU
GRU is the abbreviation for the Georgian Rugby Union, the governing body responsible for overseeing and developing rugby union in Georgia.
-
E.
GRU
GRU is Russia’s military intelligence agency, known for conducting espionage, cyber operations, and covert activities abroad.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RNN Target entity description: RNN is the IATA airport code for Bornholm Airport, which serves the Danish island of Bornholm.
-
A.
recurrent neural networks
Recurrent neural networks are a class of artificial neural networks designed to process sequential data by maintaining and updating a hidden state that captures information over time.
-
B.
LSTM networks
LSTM networks are a type of recurrent neural network architecture designed to effectively capture long-term dependencies in sequential data by using gated memory cells.
-
C.
GRU
GRU is the IATA airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
-
D.
GRU
GRU is the abbreviation for the Georgian Rugby Union, the governing body responsible for overseeing and developing rugby union in Georgia.
-
E.
GRU
GRU is Russia’s military intelligence agency, known for conducting espionage, cyber operations, and covert activities abroad.
- F. None of above. chosen
Provenance (2 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5de713c8190b35bfa66dddbd5af |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.