Triple
T26826633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ADX Florence |
E675390
|
entity |
| Predicate | inmateDailyTimeOutsideCell |
P161964
|
FINISHED |
| Object | about 1 hour |
—
|
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: about 1 hour | Statement: [ADX Florence, inmateDailyTimeOutsideCell, about 1 hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmateDailyTimeOutsideCell Context triple: [ADX Florence, inmateDailyTimeOutsideCell, about 1 hour]
-
A.
detentionDay
Indicates the specific day on which an entity is required to serve or attend detention.
-
B.
supervisesInmateMovement
Indicates that one entity oversees, directs, or monitors the movement of an inmate from one location to another.
-
C.
peakIncarcerationPeriod
Indicates the time period during which incarceration levels for the referenced entity were at their highest.
-
D.
detentionStartTime
Indicates the specific time at which a period of detention for an entity begins.
-
E.
dateOfImprisonmentEnd
Indicates the date on which an entity’s period of imprisonment or incarceration comes to an end.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f62081136c81909de8090b1d6c1ac5 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fd5442081908ca677a9c81dcb3f |
completed | May 2, 2026, 4:01 p.m. |
Created at: April 27, 2026, 4:58 a.m.