Triple
T4376151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enforcement and Removal Operations |
E99010
|
entity |
| Predicate | typeOfDetention |
P50528
|
FINISHED |
| Object | civil immigration detention |
—
|
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: civil immigration detention | Statement: [Enforcement and Removal Operations, typeOfDetention, civil immigration detention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDetention Context triple: [Enforcement and Removal Operations, typeOfDetention, civil immigration detention]
-
A.
detentionType
chosen
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
B.
detainedFor
Indicates that one entity is being held in custody or confinement because of, or as a consequence of, another entity (such as a reason, charge, or event).
-
C.
detainedBy
Indicates that an entity is being held in custody or confinement by another entity, typically an authority or controlling party.
-
D.
placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
-
E.
detentionCondition
Indicates the specific terms, circumstances, or requirements under which a person is held in detention.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523d4e888190b4367ed6aa17d463 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.