Triple
T31457680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Soffel |
E802496
|
entity |
| Predicate | featuresPrisonSetting |
P202407
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mrs. Soffel, featuresPrisonSetting, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPrisonSetting Context triple: [Mrs. Soffel, featuresPrisonSetting, true]
-
A.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
B.
effectOnPrisoners
Indicates the impact or consequences that something has on prisoners.
-
C.
securityForInmates
Indicates the provision or management of protective measures and safeguards specifically intended for inmates.
-
D.
prisonShape
Indicates that one entity specifies or describes the physical form or geometric configuration of a prison.
-
E.
majorPenitentiary
Indicates that an entity serves as a primary or principal penitentiary (major prison) within a given system or jurisdiction.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a007aa8d3a481908543f9b5d562a90c |
completed | May 10, 2026, 12:31 p.m. |
| PD | Predicate disambiguation | batch_6a007a44996481908688ccfdbc56511d |
completed | May 10, 2026, 12:29 p.m. |
| PDg | Predicate description generation | batch_6a007aa82810819080bb16dd5022c324 |
completed | May 10, 2026, 12:31 p.m. |
Created at: April 30, 2026, 9:17 p.m.