Triple
T17225835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salina Municipal Airport |
E418110
|
entity |
| Predicate | arrivalPointOf |
P49364
|
FINISHED |
| Object | Virgin Atlantic GlobalFlyer nonstop around-the-world flight |
—
|
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: Virgin Atlantic GlobalFlyer nonstop around-the-world flight | Statement: [Salina Municipal Airport, arrivalPointOf, Virgin Atlantic GlobalFlyer nonstop around-the-world flight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrivalPointOf Context triple: [Salina Municipal Airport, arrivalPointOf, Virgin Atlantic GlobalFlyer nonstop around-the-world flight]
-
A.
arrivalAt
chosen
Indicates the event or state of an entity reaching and being present at a specific destination or location.
-
B.
arrivalState
Indicates the condition or status an entity is in upon its arrival at a particular place, time, or context.
-
C.
arrivalLocationType
Indicates the type or category of place where an arrival occurs in the described relationship or event.
-
D.
landingPlace
Indicates the location or surface where something or someone comes down to rest after moving through the air or space.
-
E.
arrivalTimePattern
Indicates a recurring or structured pattern in the times at which an entity arrives.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de1674c81909ca9e87fa9153640 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.