Triple
T17420254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerry Airport |
E423591
|
entity |
| Predicate | supportsSeasonalTouristTraffic |
P45121
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kerry Airport, supportsSeasonalTouristTraffic, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSeasonalTouristTraffic Context triple: [Kerry Airport, supportsSeasonalTouristTraffic, yes]
-
A.
servesSeasonalTraffic
chosen
Indicates that an entity provides service only during specific seasons or periods of the year, rather than year-round.
-
B.
seasonalTourism
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
-
C.
isSeasonalAttraction
Indicates that an attraction is available or prominently featured only during specific seasons or times of the year.
-
D.
touristTraffic
Indicates the level, flow, or intensity of tourists visiting or moving through a particular place or area.
-
E.
supportsTraffic
Indicates that one entity is capable of handling, carrying, or accommodating the flow or volume of traffic associated with another entity.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44236419c8190a106748bca6f30cd |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.