Triple
T12528499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okinawa Ocean Expo |
E299497
|
entity |
| Predicate | typeOfVisitors |
P1284
|
FINISHED |
| Object | international visitors |
—
|
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: international visitors | Statement: [Okinawa Ocean Expo, typeOfVisitors, international visitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfVisitors Context triple: [Okinawa Ocean Expo, typeOfVisitors, international visitors]
-
A.
primaryVisitors
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
B.
hasVisitorType
chosen
Indicates the type or category of visitor associated with an entity (e.g., guest, customer, tourist, patient).
-
C.
hasVisitorsFrom
Indicates that an entity receives or has received visitors originating from another specified entity or location.
-
D.
typicalVisitType
Indicates the usual or most common category of visit associated with an entity or event.
-
E.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.