Triple
T8987003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shutter Creek Correctional Institution |
E214691
|
entity |
| Predicate | inmateAgeGroup |
P86179
|
FINISHED |
| Object | adult |
—
|
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: adult | Statement: [Shutter Creek Correctional Institution, inmateAgeGroup, adult]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmateAgeGroup Context triple: [Shutter Creek Correctional Institution, inmateAgeGroup, adult]
-
A.
ageAtArrest
Indicates the age a person was at the time they were arrested.
-
B.
hasInmateGender
Indicates that an inmate possesses a specified gender.
-
C.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
D.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
E.
numberOfPrisonersApproximate
Indicates an approximate count of prisoners associated with an entity or situation, rather than an exact number.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cc5febd0a08190b2de6fb422343001 |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:04 p.m.