Triple
T17904624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oswald State Correctional Facility |
E447669
|
entity |
| Predicate | hasInmateGroup |
P123601
|
FINISHED |
| Object | Italian-American inmates |
—
|
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: Italian-American inmates | Statement: [Oswald State Correctional Facility, hasInmateGroup, Italian-American inmates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInmateGroup Context triple: [Oswald State Correctional Facility, hasInmateGroup, Italian-American inmates]
-
A.
hasPrisonerCategory
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
B.
hasCrimeGroup
chosen
Indicates a relationship where an entity is associated with, belongs to, or is controlled by a particular criminal group or organization.
-
C.
hasInmateGender
Indicates that an inmate possesses a specified gender.
-
D.
inmateAgeGroup
Indicates the age-range category to which an inmate belongs.
-
E.
hasPrison
Indicates that one entity possesses, contains, or is the location of a prison associated with another entity.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9b643c8190a01e9ec4caa88183 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.