Triple
T7595445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Penitentiary, Florence ADX |
E179845
|
entity |
| Predicate | cellConfinementTime |
P78068
|
FINISHED |
| Object | approximately 23 hours per day |
—
|
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: approximately 23 hours per day | Statement: [United States Penitentiary, Florence ADX, cellConfinementTime, approximately 23 hours per day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellConfinementTime Context triple: [United States Penitentiary, Florence ADX, cellConfinementTime, approximately 23 hours per day]
-
A.
cellInteractionType
Indicates the specific kind of interaction or relationship occurring between cells, such as communication, adhesion, or signaling.
-
B.
isConfined
Indicates that an entity is restricted to a limited space or area, unable to move freely beyond defined boundaries.
-
C.
cellStates
Indicates the various conditions or phases that a cell can be in at a given time.
-
D.
colonySize
Indicates the number of individuals or units that make up a colony in the described context.
-
E.
colonyAtTime
Indicates that one entity exists as a colony of another entity during a specified time or time interval.
- F. None of above. chosen
Provenance (4 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:53 p.m.