Triple
T18087616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farnborough Airport |
E432877
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | FAB |
—
|
NE NERFINISHED |
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: FAB | Statement: [Farnborough Airport, IATA code, FAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAB Context triple: [Farnborough Airport, IATA code, FAB]
-
A.
FAB
FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
-
B.
FAB
chosen
FAB is the IATA airport code for Farnborough Airport, a business aviation airport in Hampshire, England.
-
C.
FABL
FABL is the ICAO airport code for Bram Fischer International Airport in Bloemfontein, South Africa.
-
D.
F.B.A.
F.B.A. is an abbreviated form of the term "FBA," commonly used to denote "Fulfillment by Amazon" in e-commerce contexts.
-
E.
FAK
FAK is the official abbreviation for the Royal Danish Defence College, Denmark’s primary institution for military education and research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16234c8190b547e893a829d6c5 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.