Triple
T14098362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Jorge Airport |
E339313
|
entity |
| Predicate | servesMainlandConnectionsVia |
P108512
|
FINISHED |
| Object | other Azores hubs |
—
|
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: other Azores hubs | Statement: [São Jorge Airport, servesMainlandConnectionsVia, other Azores hubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesMainlandConnectionsVia Context triple: [São Jorge Airport, servesMainlandConnectionsVia, other Azores hubs]
-
A.
connectedToMainlandBy
Indicates that one landmass or area is physically linked to a mainland, typically via a bridge, causeway, or other continuous connection.
-
B.
hasLandsideConnection
Indicates that two locations are connected by a route or access on land, allowing movement between them without using air or water transport.
-
C.
servesPassengerTrafficTo
chosen
Indicates that a transportation facility or service provides regular passenger traffic access or operations to a particular location or area.
-
D.
servesAsMainPortOfEntryFor
Indicates that one location functions as the primary gateway or access point through which another entity typically enters a region or system.
-
E.
operatesLongHaulRouteFrom
Indicates that an entity (typically a transportation carrier) runs long-distance routes originating from a specified 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.