Triple
T29457585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roma prisoners |
E747141
|
entity |
| Predicate | imprisonedByReasonOf |
P3353
|
FINISHED |
| Object | racist ideology |
—
|
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: racist ideology | Statement: [Roma prisoners, imprisonedByReasonOf, racist ideology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imprisonedByReasonOf Context triple: [Roma prisoners, imprisonedByReasonOf, racist ideology]
-
A.
imprisonedFor
chosen
Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
-
B.
imprisonedWith
Indicates that two entities are confined or held in prison together at the same time and place.
-
C.
usedForImprisoning
Indicates that something serves as a means, tool, or method for confining or detaining someone against their will.
-
D.
imprisonmentContext
Indicates that one entity is held in confinement or custody by another entity or authority within a specific legal, temporal, or situational context.
-
E.
sometimesImprisons
Indicates that one entity occasionally confines or incarcerates another entity, but not on a regular or constant basis.
- 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66b6e727c81909d590686a0096fcd |
completed | May 2, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:47 p.m.