Triple
T30374710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nội Bài International Airport |
E772649
|
entity |
| Predicate | Terminal1Use |
P27057
|
FINISHED |
| Object | domestic flights |
—
|
LITERAL 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: domestic flights | Statement: [Nội Bài International Airport, Terminal1Use, domestic flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Terminal1Use Context triple: [Nội Bài International Airport, Terminal1Use, domestic flights]
-
A.
terminal3Use
Indicates that an entity makes use of or operates from terminal 3 (such as a specific terminal in a facility, station, or airport).
-
B.
TerminalEUsedFor
Indicates that a terminal E is used for a particular purpose, function, or activity.
-
C.
terminal1PrimaryUse
chosen
Indicates the main or predominant function or purpose for which terminal 1 is used.
-
D.
usedTerminal
Indicates that an entity made use of or interacted with a particular terminal or endpoint device.
-
E.
terminalSide
Indicates that one entity is located at or forms the end boundary or terminal edge of another entity.
- F. None of above.
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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 29, 2026, 7:59 p.m.