Triple
T14852761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanteibyo |
E349270
|
entity |
| Predicate | mainVisitors |
P34539
|
FINISHED |
| Object | local Chinese community |
—
|
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: local Chinese community | Statement: [Kanteibyo, mainVisitors, local Chinese community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainVisitors Context triple: [Kanteibyo, mainVisitors, local Chinese community]
-
A.
primaryVisitors
chosen
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
B.
hasVisitorsFrom
Indicates that an entity receives or has received visitors originating from another specified entity or location.
-
C.
visitorManagement
Indicates the management, tracking, and control of visitors’ access, activities, and permissions within a location or system.
-
D.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
-
E.
visitorIs
Indicates that one entity is acting in the role or capacity of a visitor with respect to 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded441e70881909bbf62b66d932aff |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.