Triple
T35446524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azur Air Uruguay |
E1024501
|
entity |
| Predicate | continentServedFromBase |
P72673
|
FINISHED |
| Object | South America |
—
|
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: South America | Statement: [Azur Air Uruguay, continentServedFromBase, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentServedFromBase Context triple: [Azur Air Uruguay, continentServedFromBase, South America]
-
A.
regionServedAsHeadquarters
Indicates that a particular region functions as the primary headquarters location for an entity.
-
B.
hasCountryServed
Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
-
C.
destinationCountryServed
Indicates that a given entity (such as a service, route, or provider) serves or operates to a specified destination country.
-
D.
issuerRegionServed
Indicates the geographic region or area that the issuer provides services to or operates within.
-
E.
regionServedFromHub
chosen
Indicates that a particular region receives its services, operations, or logistical support from a specified hub location.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: May 3, 2026, 4:04 p.m.