Triple
T18121851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley State Prison |
E433757
|
entity |
| Predicate | openedAsWomensPrison |
P130529
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Valley State Prison, openedAsWomensPrison, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsWomensPrison Context triple: [Valley State Prison, openedAsWomensPrison, 1995]
-
A.
openedToInmates
Indicates that something (such as a facility, program, or resource) has been made accessible or available for use by inmates.
-
B.
closedAsPrison
Indicates that a facility or location was shut down specifically for use as a prison or place of incarceration.
-
C.
gaveBirthWhileImprisoned
Indicates that one entity gave birth to another while the birthing entity was incarcerated.
-
D.
prisonerOf
Indicates that one entity is held in custody or confinement by another entity, typically under legal or authoritative control.
-
E.
hasBeenImprisoned
Indicates that an entity has been confined or incarcerated in a prison or similar detention facility at some point in time.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddea61bc8190af4b3efa2596b632 |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:28 a.m.