Triple
T6894717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changsha Huanghua International Airport |
E159141
|
entity |
| Predicate | hasDomesticNetwork |
P1658
|
FINISHED |
| Object | extensive |
—
|
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: extensive | Statement: [Changsha Huanghua International Airport, hasDomesticNetwork, extensive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDomesticNetwork Context triple: [Changsha Huanghua International Airport, hasDomesticNetwork, extensive]
-
A.
hasDomesticTerminal
Indicates that a transportation facility, typically an airport, includes a terminal dedicated to domestic (within-country) travel operations.
-
B.
hasNetworkUS
Indicates that an entity possesses, operates, or is associated with a network located in or serving the United States.
-
C.
connectedToNationalNetworkAt
Indicates that an entity has a direct linkage or access point to a broader national-level network or infrastructure.
-
D.
hasDomesticFlights
chosen
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
-
E.
hasDomesticConcourse
Indicates that a transportation facility includes a concourse area designated for domestic (within-country) passengers or services.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d933032c8190997d67a15897619b |
completed | March 27, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.