Triple
T7143111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Enrique Mosconi International Airport |
E166496
|
entity |
| Predicate | isMajorRegionalAirportFor |
P75084
|
FINISHED |
| Object | Patagonian area |
—
|
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: Patagonian area | Statement: [General Enrique Mosconi International Airport, isMajorRegionalAirportFor, Patagonian area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorRegionalAirportFor Context triple: [General Enrique Mosconi International Airport, isMajorRegionalAirportFor, Patagonian area]
-
A.
hasRegionalAirport
Indicates that a place or region possesses or is served by a regional 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.
isRegionalAirport
Indicates that an airport serves a specific region or local area rather than functioning as a major national or international hub.
-
D.
isMajorCargoAirport
Indicates that an airport primarily handles large volumes of cargo traffic and serves as a significant freight hub.
-
E.
hasInternationalAirport
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
- F. None of above. chosen
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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e779ace48190be9c33750e60a79e |
completed | March 27, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:46 p.m.