Triple
T37891541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 08/26 |
E945153
|
entity |
| Predicate | handlesMostOperationsOf |
P152977
|
FINISHED |
| Object | Catania–Fontanarossa Airport |
—
|
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: Catania–Fontanarossa Airport | Statement: [Runway 08/26, handlesMostOperationsOf, Catania–Fontanarossa Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesMostOperationsOf Context triple: [Runway 08/26, handlesMostOperationsOf, Catania–Fontanarossa Airport]
-
A.
operatesOver
Indicates that one entity performs actions or exerts functional control across, upon, or throughout another entity or domain.
-
B.
operatedMostOf
chosen
Indicates that one entity carried out or controlled the functioning of another entity for the majority of a specified time period or among a set of comparable cases.
-
C.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
-
D.
hasMainOperations
Indicates that an entity is associated with its primary or core operations, activities, or functions.
-
E.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.