Triple
T7513062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidio Modelo |
E177569
|
entity |
| Predicate | openedToInmates |
P77398
|
FINISHED |
| Object | circa 1931 |
—
|
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: circa 1931 | Statement: [Presidio Modelo, openedToInmates, circa 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedToInmates Context triple: [Presidio Modelo, openedToInmates, circa 1931]
-
A.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
B.
closedAsPrison
Indicates that a facility or location was shut down specifically for use as a prison or place of incarceration.
-
C.
hasPrisoners
Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
-
D.
operatedPrison
Indicates that an entity managed, ran, or was responsible for the day-to-day operation of a particular prison.
-
E.
openedIn
Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period or location.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d52b2c8190ba32b1575756fa7c |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f574d8a8819095749518dad13791 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:45 p.m.