Triple
T31338269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colnbrook Immigration Removal Centre |
E799233
|
entity |
| Predicate | detaineeGender |
P81519
|
FINISHED |
| Object | primarily male detainees |
—
|
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: primarily male detainees | Statement: [Colnbrook Immigration Removal Centre, detaineeGender, primarily male detainees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detaineeGender Context triple: [Colnbrook Immigration Removal Centre, detaineeGender, primarily male detainees]
-
A.
hasInmateGender
chosen
Indicates that an inmate possesses a specified gender.
-
B.
hasPerpetratorGender
Indicates that an action, event, or offense is associated with the specified gender of the perpetrator.
-
C.
detaineeStatus
Indicates the current legal or custodial condition of a person being detained, such as whether they are in custody, released, or under a specific detention regime.
-
D.
coDetainee
Indicates that two or more individuals are detained or imprisoned together in the same facility or under the same custodial authority.
-
E.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive 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_69f224e3f6ac8190a13488516abca7c9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f11ba548190b8ad25fafb07b62b |
completed | May 3, 2026, 1:04 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:16 p.m.