Triple
T12581294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensbrück concentration camp |
E300341
|
entity |
| Predicate | hasPrisonerNationalities |
P74411
|
FINISHED |
| Object | Polish prisoners |
—
|
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 prisoners | Statement: [Ravensbrück concentration camp, hasPrisonerNationalities, Polish prisoners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrisonerNationalities Context triple: [Ravensbrück concentration camp, hasPrisonerNationalities, Polish prisoners]
-
A.
hasPrisonerNationality
chosen
Indicates that a prisoner is associated with a specific nationality.
-
B.
hasVictimNationalities
Indicates that an event, incident, or action involved victims belonging to one or more specified nationalities.
-
C.
hasPrisoners
Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
-
D.
hasParticipantNationality
Indicates that a participant in an event, activity, or relation has a specific nationality.
-
E.
commonVisitorNationalities
Indicates that the related entity has visitors whose nationalities are commonly represented among its overall visitor population.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:02 p.m.