Triple
T29934493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmbrechts subcamp |
E760319
|
entity |
| Predicate | prisonerGenderMajority |
P139448
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [Helmbrechts subcamp, prisonerGenderMajority, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonerGenderMajority Context triple: [Helmbrechts subcamp, prisonerGenderMajority, female]
-
A.
hasInmateGender
Indicates that an inmate possesses a specified gender.
-
B.
hasGenderRatioMale
Indicates the proportion or percentage of male individuals within a given population or group.
-
C.
genderRatio
chosen
Indicates the proportional relationship between different genders within a given group or population.
-
D.
genderOfResidents
Indicates the gender identity or classification associated with the residents of a particular place or group.
-
E.
hasPerpetratorGender
Indicates that an action, event, or offense is associated with the specified gender of the perpetrator.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677d413c081908203059402081897 |
completed | May 2, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:19 p.m.