Triple
T8987014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shutter Creek Correctional Institution |
E214691
|
entity |
| Predicate | hasReentryServices |
P6787
|
FINISHED |
| Object | transition planning |
—
|
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: transition planning | Statement: [Shutter Creek Correctional Institution, hasReentryServices, transition planning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReentryServices Context triple: [Shutter Creek Correctional Institution, hasReentryServices, transition planning]
-
A.
hasServiceTo
chosen
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
B.
hasConstituentServicesIn
Indicates that an entity provides constituent services within a specified geographic or jurisdictional area.
-
C.
hasFormerService
Indicates that an entity previously provided a service to another entity but no longer does so.
-
D.
hasThroughServiceWith
Indicates that two transportation services are operationally linked so that a passenger or shipment can continue from one to the other without a separate booking or major interruption.
-
E.
hasDirectServices
Indicates that one entity provides services directly to another entity without intermediaries.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ef19108190ac518c4f744b6d60 |
completed | April 1, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.