Triple
T19324733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fushun War Criminals Management Centre |
E483317
|
entity |
| Predicate | inmatesNationality |
P74411
|
FINISHED |
| Object | Japanese |
—
|
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: Japanese | Statement: [Fushun War Criminals Management Centre, inmatesNationality, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmatesNationality Context triple: [Fushun War Criminals Management Centre, inmatesNationality, Japanese]
-
A.
hasPrisonerNationality
chosen
Indicates that a prisoner is associated with a specific nationality.
-
B.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
C.
countryOfImprisonment
Indicates the country in which a person or entity is or was imprisoned.
-
D.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
E.
countryPrisonSystem
Indicates a relationship where a country has, administers, or is associated with a particular prison system.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8af43c81908e5a8780c35a8e1d |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.