Triple
T906623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francoist Spain |
E19561
|
entity |
| Predicate | politicalRepression |
P18600
|
FINISHED |
| Object | widespread |
—
|
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: widespread | Statement: [Francoist Spain, politicalRepression, widespread]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalRepression Context triple: [Francoist Spain, politicalRepression, widespread]
-
A.
repressedDissent
chosen
Indicates that one party has actively suppressed or stifled opposition, criticism, or disagreement from another party or group.
-
B.
methodOfPersecution
Indicates the specific means, technique, or process by which an act of persecution is carried out.
-
C.
politicalRepercussion
Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
-
D.
politicalControl
Indicates that one entity holds governing authority, influence, or decision-making power over the political actions or structure of another entity.
-
E.
persecutedDuring
Indicates that one entity systematically harassed, oppressed, or victimized another entity during a specified time period or event.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b28ff5948190982c4439eadf9d87 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.