Triple
T34669768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Thanh International Airport |
E890344
|
entity |
| Predicate | hubPotentialFor |
P423
|
FINISHED |
| Object | Vietnamese airlines |
—
|
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: Vietnamese airlines | Statement: [Long Thanh International Airport, hubPotentialFor, Vietnamese airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hubPotentialFor Context triple: [Long Thanh International Airport, hubPotentialFor, Vietnamese airlines]
-
A.
hubFor
chosen
Indicates that one entity serves as a central node or focal point through which activities, connections, or resources related to another entity are organized or routed.
-
B.
hubType
Indicates the specific kind or category of hub associated with an entity or connection.
-
C.
agingPotential
Indicates the capacity or suitability of something to improve, develop, or remain effective over time as it ages.
-
D.
hasConnectionPotential
Indicates that there exists a possibility or capacity for a meaningful connection or relationship to form between the entities.
-
E.
hasPotential
Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722fa31248190a1c9081ce8cfa37b |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.