Triple
T26605012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Correctional Institution Coleman |
E667743
|
entity |
| Predicate | securityLevel_FCI Coleman Low |
P60827
|
FINISHED |
| Object | low security |
—
|
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: low security | Statement: [Federal Correctional Institution Coleman, securityLevel_FCI Coleman Low, low security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityLevel_FCI Coleman Low Context triple: [Federal Correctional Institution Coleman, securityLevel_FCI Coleman Low, low security]
-
A.
securityLevelComponents
Indicates that a particular security level is composed of, or associated with, a specific set of component elements or factors.
-
B.
isSecureFacility
Indicates that a facility has protections, controls, and safeguards in place to prevent unauthorized access, tampering, or security breaches.
-
C.
typicalSecurityLevel
chosen
Indicates the usual or standard security level that is generally applied or expected in a given context or system.
-
D.
hasCleanlinessLevel
Indicates the degree or state of cleanliness associated with an entity.
-
E.
amenityLevel
Indicates the degree or quality of facilities, services, or conveniences provided in relation to something.
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 2:14 a.m.