Triple
T13992201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanchang Changbei International Airport |
E336607
|
entity |
| Predicate | isCivilAviationHub |
P112076
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nanchang Changbei International Airport, isCivilAviationHub, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilAviationHub Context triple: [Nanchang Changbei International Airport, isCivilAviationHub, yes]
-
A.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
B.
isCivilAviationCode
Indicates that a given code is designated as a civil aviation identifier for an airline, airport, or related aviation entity.
-
C.
isPublicAirport
Indicates that an airport is open for use by the general public rather than restricted to private or military operations.
-
D.
isAviationElementOf
Indicates that something functions as a component or constituent part within a broader aviation-related system, structure, or context.
-
E.
isHarbourAirport
Indicates that an airport serves as a harbor or port facility, typically accommodating seaplanes or water-based aircraft operations.
- F. None of above. chosen
Provenance (4 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:19 p.m.