Triple
T13840782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pignerol fortress |
E332648
|
entity |
| Predicate | prisonerTreatment |
P83128
|
FINISHED |
| Object | isolation |
—
|
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: isolation | Statement: [Pignerol fortress, prisonerTreatment, isolation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonerTreatment Context triple: [Pignerol fortress, prisonerTreatment, isolation]
-
A.
effectOnPrisoners
chosen
Indicates the impact or consequences that something has on prisoners.
-
B.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
C.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
D.
heldInSolitaryConfinement
Indicates that an entity is subjected to isolation from others, typically as a form of confinement or punishment, where they are kept alone for extended periods.
-
E.
viewsPrisonsAs
Indicates how one entity conceptually regards or interprets the nature, role, or purpose of prisons.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.