Triple
T12574761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Penitentiary |
E300177
|
entity |
| Predicate | hasInmateCustodyLevel |
P105493
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [United States Penitentiary, hasInmateCustodyLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInmateCustodyLevel Context triple: [United States Penitentiary, hasInmateCustodyLevel, high]
-
A.
detaineeStatus
Indicates the current legal or custodial condition of a person being detained, such as whether they are in custody, released, or under a specific detention regime.
-
B.
placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
-
C.
hasInmateGender
Indicates that an inmate possesses a specified gender.
-
D.
hasPrison
Indicates that one entity possesses, contains, or is the location of a prison associated with another entity.
-
E.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d9550af6d48190a40e349ed0424be3 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 9, 2026, 4:46 p.m.