Triple
T17709268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boryspil International Airport |
E441518
|
entity |
| Predicate | hasPassengerTerminal |
P1297
|
FINISHED |
| Object | Terminal F |
—
|
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: Terminal F | Statement: [Boryspil International Airport, hasPassengerTerminal, Terminal F]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal F Context triple: [Boryspil International Airport, hasPassengerTerminal, Terminal F]
-
A.
Terminal F
Terminal F is one of the passenger terminals at Sheremetyevo International Airport in Moscow, primarily serving international flights and offering a range of traveler services and facilities.
-
B.
Terminal F
Terminal F is a regional commuter terminal at Philadelphia International Airport primarily serving short-haul and domestic flights.
-
C.
Terminal F
chosen
Terminal F is a passenger terminal at Boryspil International Airport in Ukraine, primarily used for handling charter and low-cost airline flights.
-
D.
Terminal E
Terminal E is one of the passenger terminals at Bremen Airport in Germany, serving travelers with check-in, boarding, and related airport services.
-
E.
Terminal E
Terminal E is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving international flights with modern facilities and connections to adjacent terminals.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47299cd7881908aac13b84acb61f7 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.