Triple
T26140426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melekhovo |
E659499
|
entity |
| Predicate | hasPenalInstitution |
P21915
|
FINISHED |
| Object | IK-6 |
—
|
NE NERFINISHED |
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: IK-6 | Statement: [Melekhovo, hasPenalInstitution, IK-6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPenalInstitution Context triple: [Melekhovo, hasPenalInstitution, IK-6]
-
A.
isPenalInstitution
Indicates that an entity functions as a facility where individuals are legally confined as punishment or while awaiting legal proceedings.
-
B.
hasPrison
chosen
Indicates that one entity possesses, contains, or is the location of a prison associated with another entity.
-
C.
hasBeenImprisoned
Indicates that an entity has been confined or incarcerated in a prison or similar detention facility at some point in time.
-
D.
hasPrisonService
Indicates that an entity provides, manages, or is responsible for prison-related services or operations for another entity.
-
E.
hasFormerInmate
Indicates that an entity previously housed or supervised an individual who was once an inmate there.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 26, 2026, 8:19 p.m.