Triple
T11517620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla de Pinos |
E273071
|
entity |
| Predicate | PresidioModeloUse |
P99912
|
FINISHED |
| Object | political prison during Batista era |
—
|
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: political prison during Batista era | Statement: [Isla de Pinos, PresidioModeloUse, political prison during Batista era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PresidioModeloUse Context triple: [Isla de Pinos, PresidioModeloUse, political prison during Batista era]
-
A.
mainGunModel
Indicates the specific model or type designation of the primary gun or main weapon system used by an entity.
-
B.
garrisonUseUntil
Indicates that a garrison occupies or utilizes a location or resource up to a specified end time or condition.
-
C.
usedInMonument
Indicates that something serves as a material, component, or element incorporated into the construction or design of a monument.
-
D.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
E.
يكسو
Indicates covering or clothing something or someone with a layer, garment, or surface.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcc72a48190b81acedfcc8685d3 |
completed | April 10, 2026, 4:42 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.