Triple
T11309272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Società Aeroporto Catania |
E267794
|
entity |
| Predicate | airportTypeManaged |
P98427
|
FINISHED |
| Object | international airport |
—
|
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: international airport | Statement: [Società Aeroporto Catania, airportTypeManaged, international airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportTypeManaged Context triple: [Società Aeroporto Catania, airportTypeManaged, international airport]
-
A.
airportTypePresent
Indicates that a specific type or category of airport is present or exists in relation to the referenced entity.
-
B.
airportUse
Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
-
C.
airportRole
Indicates that an entity serves a specific functional role or capacity within the context of an airport.
-
D.
airportStation
Indicates a location functions as an airport facility where air transport operations occur.
-
E.
isPublicAirport
Indicates that an airport is open for use by the general public rather than restricted to private or military operations.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.