Triple
T23097310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comandante Armando Tola International Airport |
E575927
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | FTE |
—
|
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: FTE | Statement: [Comandante Armando Tola International Airport, IATAcode, FTE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FTE Context triple: [Comandante Armando Tola International Airport, IATAcode, FTE]
-
A.
FTE
FTE is the ICAO airline designator assigned to the former American cargo airline Flying Tigers Line.
-
B.
FTE
chosen
FTE is the IATA airport code for El Calafate Airport, which serves the popular tourist destination of El Calafate in Argentine Patagonia.
-
C.
FTU
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
-
D.
TFR
TFR is the state-owned freight rail division of Transnet that operates and manages South Africa’s national rail freight network.
-
E.
FDT
"FDT" is a politically charged protest song by YG featuring Nipsey Hussle that criticizes Donald Trump and became an anthem of opposition during the 2016 U.S. presidential election.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de61c7c8190809920fa1071935f |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:57 p.m.