Triple
T26826631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ADX Florence |
E675390
|
entity |
| Predicate | inmateHousing |
P151405
|
FINISHED |
| Object | solitary confinement |
—
|
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: solitary confinement | Statement: [ADX Florence, inmateHousing, solitary confinement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmateHousing Context triple: [ADX Florence, inmateHousing, solitary confinement]
-
A.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
B.
placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
-
C.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
D.
mainInmates
Indicates that the referenced entities are the primary or principal inmates associated with a particular facility, case, or context.
-
E.
residenceDuringImprisonment
chosen
Indicates that an entity’s place of residence is specified for the period during which that entity is imprisoned.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61ad8d3348190a3cb44103dce1995 |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 4:58 a.m.