Triple
T5221014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marina di Campo Airport |
E117866
|
entity |
| Predicate | hasInfrastructureScale |
P62107
|
FINISHED |
| Object | small 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: small airport | Statement: [Marina di Campo Airport, hasInfrastructureScale, small airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfrastructureScale Context triple: [Marina di Campo Airport, hasInfrastructureScale, small airport]
-
A.
hasGlobalInfrastructure
Indicates that an entity possesses infrastructure, facilities, or operational capabilities that are distributed across multiple countries or regions worldwide.
-
B.
hasInfrastructureType
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
C.
usesInfrastructure
Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
-
D.
hasInfrastructureOwner
Indicates that one entity owns or is responsible for the infrastructure associated with another entity.
-
E.
supportsInfrastructure
Indicates that one entity provides resources, services, or capabilities that enable the operation, maintenance, or development of another entity’s infrastructure.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ab846548190bcd2c5cd238f6cd9 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77bd2a448190a9ae5afd2585a7b9 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78a89b608190b259d3d8658f8f7c |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:48 p.m.