Triple
T23519897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xi'an Xianyang International Airport |
E574473
|
entity |
| Predicate | servesAsMajorHubFor |
P81087
|
FINISHED |
| Object | northwestern China |
—
|
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: northwestern China | Statement: [Xi'an Xianyang International Airport, servesAsMajorHubFor, northwestern China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAsMajorHubFor Context triple: [Xi'an Xianyang International Airport, servesAsMajorHubFor, northwestern China]
-
A.
otherMajorHub
Indicates that an entity is another primary hub or central node within the same network or system as the reference entity.
-
B.
isTransportCenterOf
chosen
Indicates that a location functions as a primary hub or central node for transportation activities serving another area or network.
-
C.
hasMajorCityHub
Indicates that an entity contains or is associated with a primary, high-importance city that functions as a central hub for activity, services, or connectivity.
-
D.
cityServedFromHub
Indicates that a particular city is served or connected via transportation routes originating from a specified hub.
-
E.
servesPassengerTrafficTo
Indicates that a transportation facility or service provides regular passenger traffic access or operations to a particular location or area.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa85cb2c81908afbd0df0caeef4d |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f06213e8c48190b52a7789fb91e02d |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:08 p.m.