Triple
T24760363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordechai Bogdanov |
E619418
|
entity |
| Predicate | prisonTypeAssociatedWith |
P19110
|
FINISHED |
| Object | high-security prison |
—
|
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-security prison | Statement: [Mordechai Bogdanov, prisonTypeAssociatedWith, high-security prison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonTypeAssociatedWith Context triple: [Mordechai Bogdanov, prisonTypeAssociatedWith, high-security prison]
-
A.
prisonType
chosen
Indicates the specific category or classification of a prison associated with an entity.
-
B.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
C.
isPenalInstitution
Indicates that an entity functions as a facility where individuals are legally confined as punishment or while awaiting legal proceedings.
-
D.
partOfPenalSystem
Indicates that something belongs to, is included within, or functions as a component of a jurisdiction’s penal or criminal justice system.
-
E.
majorPenitentiary
Indicates that an entity serves as a primary or principal penitentiary (major prison) within a given system or jurisdiction.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:27 a.m.