Triple
T23949688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chile national transport system |
E603010
|
entity |
| Predicate | otherMajorAirport |
P135904
|
FINISHED |
| Object | Carriel Sur International Airport |
—
|
NE NERFINISHED |
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: Carriel Sur International Airport | Statement: [Chile national transport system, otherMajorAirport, Carriel Sur International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherMajorAirport Context triple: [Chile national transport system, otherMajorAirport, Carriel Sur International Airport]
-
A.
otherMajorAirportInRegion
Indicates that the subject airport is a different major airport located within the same geographic region as the object airport.
-
B.
hasMajorAirport
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
-
C.
otherMajorNYCAirport
Indicates that one airport is another major airport serving the New York City area, distinct from a primary or reference NYC airport.
-
D.
otherMajorHub
chosen
Indicates that an entity is another primary hub or central node within the same network or system as the reference entity.
-
E.
isSecondLargestAirportIn
Indicates that an airport is the second largest (by a specified measure, such as passenger traffic or area) among all airports within a given region or jurisdiction.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d03140f08190b4356626628ff56f |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:19 p.m.