Triple
T12351945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wartheland |
E294509
|
entity |
| Predicate | persecutionTarget |
P22568
|
FINISHED |
| Object | Polish intelligentsia |
—
|
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: Polish intelligentsia | Statement: [Wartheland, persecutionTarget, Polish intelligentsia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: persecutionTarget Context triple: [Wartheland, persecutionTarget, Polish intelligentsia]
-
A.
persecutionOf
Indicates the act of subjecting an entity to persistent, often unjust hostility, harassment, or oppression, typically on the basis of identity, beliefs, or group membership.
-
B.
persecutedIn
Indicates that an entity is subjected to oppression, harassment, or unfair treatment within a particular place, context, or time period.
-
C.
causeOfPersecution
Indicates that one entity is the reason or basis for another entity being persecuted.
-
D.
persecutedDuring
Indicates that one entity systematically harassed, oppressed, or victimized another entity during a specified time period or event.
-
E.
ethnicGroupPersecuted
chosen
Indicates that a particular ethnic group is subjected to systematic hostility, discrimination, or violence by another party.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8aa33c8190b22b7dff9559b8ed |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.