Triple
T26826684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Correctional Institution, Terre Haute |
E675391
|
entity |
| Predicate | hasInmateHousingType |
P105495
|
FINISHED |
| Object | cell housing |
—
|
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: cell housing | Statement: [Federal Correctional Institution, Terre Haute, hasInmateHousingType, cell housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInmateHousingType Context triple: [Federal Correctional Institution, Terre Haute, hasInmateHousingType, cell housing]
-
A.
hasInmateCustodyLevel
Indicates the security or supervision level at which an inmate is held in custody.
-
B.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
C.
hasHousingArrangement
chosen
Indicates that an entity has a specific type or status of housing or living arrangement in relation to another entity or context.
-
D.
hasInmateGender
Indicates that an inmate possesses a specified gender.
-
E.
hasInmateManagementPolicy
Indicates that an entity has established rules or procedures governing the management and treatment of inmates.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 27, 2026, 4:59 a.m.