Triple
T9085591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dejima |
E217744
|
entity |
| Predicate | foreignResidentsRestrictedTo |
P87109
|
FINISHED |
| Object | Dutch traders |
—
|
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: Dutch traders | Statement: [Dejima, foreignResidentsRestrictedTo, Dutch traders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foreignResidentsRestrictedTo Context triple: [Dejima, foreignResidentsRestrictedTo, Dutch traders]
-
A.
hasCitizenshipRestriction
Indicates that there is a legal or policy-based limitation on who can obtain or hold citizenship in a given context.
-
B.
restrictedImmigrantsFrom
Indicates that one entity imposed limitations or prohibitions on immigrants originating from another entity.
-
C.
limitedImmigrationFrom
Indicates that an entity restricts or caps the number or conditions of immigrants coming from a specified source entity.
-
D.
hasTourismRestriction
Indicates that there is a limitation, prohibition, or special condition affecting tourism-related activities or access in relation to the referenced entity.
-
E.
hasTemporaryResidents
Indicates that an entity currently accommodates residents who are staying there only for a limited or non-permanent period.
- F. None of above. chosen
Provenance (4 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960d0b008190b0e9e61fac45101d |
completed | April 1, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:13 p.m.