Triple
T2881443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Integrated Revolutionary Organizations |
E59404
|
entity |
| Predicate | stateRelation |
P40062
|
FINISHED |
| Object | closely linked to the Cuban revolutionary government |
—
|
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: closely linked to the Cuban revolutionary government | Statement: [Integrated Revolutionary Organizations, stateRelation, closely linked to the Cuban revolutionary government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateRelation Context triple: [Integrated Revolutionary Organizations, stateRelation, closely linked to the Cuban revolutionary government]
-
A.
churchStateRelation
Indicates the nature or degree of interaction, separation, or influence between religious institutions and governmental authority.
-
B.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
C.
bilateralRelation
chosen
Indicates a mutual or two-way relationship between two entities, where each affects or interacts with the other.
-
D.
titleRelation
Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
-
E.
termRelationTo
Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
- F. None of above.
Provenance (3 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02aa5948190a2e0bd9168232bd5 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.