Triple
T25052321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île Royale |
E627418
|
entity |
| Predicate | roleInPenalSystem |
P19980
|
FINISHED |
| Object | administrative center of Îles du Salut penal colony |
—
|
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: administrative center of Îles du Salut penal colony | Statement: [Île Royale, roleInPenalSystem, administrative center of Îles du Salut penal colony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPenalSystem Context triple: [Île Royale, roleInPenalSystem, administrative center of Îles du Salut penal colony]
-
A.
prisonRole
chosen
Indicates a role or function that an entity holds within the context or system of a prison.
-
B.
partOfPenalSystem
Indicates that something belongs to, is included within, or functions as a component of a jurisdiction’s penal or criminal justice system.
-
C.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
D.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
E.
isPenalInstitution
Indicates that an entity functions as a facility where individuals are legally confined as punishment or while awaiting legal proceedings.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 18, 2026, 6:09 a.m.