Triple
T5732824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Correctional Institution – Bridgewater |
E126424
|
entity |
| Predicate | inmateCategory |
P18550
|
FINISHED |
| Object | adult offenders |
—
|
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: adult offenders | Statement: [Massachusetts Correctional Institution – Bridgewater, inmateCategory, adult offenders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmateCategory Context triple: [Massachusetts Correctional Institution – Bridgewater, inmateCategory, adult offenders]
-
A.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
B.
hasPrisonerCategory
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
C.
hasNotableCategoryOfPrisoners
chosen
Indicates that a prison is known for housing a specific, notable category or type of prisoners.
-
D.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.