Triple
T29948270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolduc Correctional Facility |
E760697
|
entity |
| Predicate | hasWorkOpportunities |
P87760
|
FINISHED |
| Object | on-site work assignments |
—
|
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: on-site work assignments | Statement: [Bolduc Correctional Facility, hasWorkOpportunities, on-site work assignments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkOpportunities Context triple: [Bolduc Correctional Facility, hasWorkOpportunities, on-site work assignments]
-
A.
hasDevelopmentOpportunity
Indicates that an entity offers or possesses a potential for growth, improvement, or advancement, typically in skills, performance, or capabilities.
-
B.
eligibleWork
Indicates that a particular work satisfies the necessary conditions or criteria to qualify for a specified status, benefit, or consideration.
-
C.
hasNotableConnectionToWork
Indicates that there is a significant or noteworthy relationship, influence, or association between an entity and a particular work.
-
D.
hasOccupationInWork
Indicates that an entity holds or performs a specific occupation within a particular work, project, or creative production.
-
E.
hasWorkProgram
chosen
Indicates that an entity offers, participates in, or is associated with a specific work-related program or scheme.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: April 29, 2026, 6:24 p.m.