Triple
T28714403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weixian Civilian Assembly Center |
E729917
|
entity |
| Predicate | inmateGroup |
P131305
|
FINISHED |
| Object | missionaries |
—
|
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: missionaries | Statement: [Weixian Civilian Assembly Center, inmateGroup, missionaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmateGroup Context triple: [Weixian Civilian Assembly Center, inmateGroup, missionaries]
-
A.
primaryPrisonerGroups
Indicates the main categories or groupings into which prisoners are primarily classified or organized.
-
B.
inmateAgeGroup
Indicates the age-range category to which an inmate belongs.
-
C.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
D.
mainInmates
Indicates that the referenced entities are the primary or principal inmates associated with a particular facility, case, or context.
-
E.
primaryIncarceratedGroup
chosen
Indicates that the referenced group is the main or predominant population being held in incarceration within a given facility, system, or context.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 5:50 a.m.