Triple
T31849451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haikou Meilan International Airport |
E813025
|
entity |
| Predicate | primaryCityAirportFor |
P281
|
FINISHED |
| Object | Haikou |
E197372
|
NE 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: Haikou | Statement: [Haikou Meilan International Airport, primaryCityAirportFor, Haikou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCityAirportFor Context triple: [Haikou Meilan International Airport, primaryCityAirportFor, Haikou]
-
A.
previousPrimaryAirportFor
Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
-
B.
parentAirport
Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
-
C.
hasMajorAirport
chosen
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
-
D.
hasPrimaryAirportRole
Indicates that an entity holds the main or principal functional role associated with an airport.
-
E.
otherMajorAirportInRegion
Indicates that the subject airport is a different major airport located within the same geographic region as the object airport.
- F. None of above.
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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a349e97db348190bb3e0e2aae4617fd |
completed | June 19, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:51 p.m.