Triple
T1765041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noi Bai International Airport |
E38742
|
entity |
| Predicate | terminal1Usage |
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: [Noi Bai International Airport, terminal1Usage, domestic flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminal1Usage Context triple: [Noi Bai International Airport, terminal1Usage, domestic flights]
-
A.
usedTerminal
Indicates that an entity made use of or interacted with a particular terminal or endpoint device.
-
B.
terminal1PrimaryUse
chosen
Indicates the main or predominant function or purpose for which terminal 1 is used.
-
C.
terminal
Indicates that one entity is the final or end point in a process, sequence, or structure, beyond which no further continuation occurs.
-
D.
servesTerminal
Indicates that one entity functions as a terminal or endpoint facility that is served or operated by another entity.
-
E.
terminalArea
Indicates that one entity is a designated terminal area or zone associated with another entity (such as a facility, system, or region).
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.