Triple
T34211428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ministerio de defensa |
E877666
|
entity |
| Predicate | puedeEstarSujetoA |
P1313
|
FINISHED |
| Object | control parlamentario |
—
|
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: control parlamentario | Statement: [ministerio de defensa, puedeEstarSujetoA, control parlamentario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: puedeEstarSujetoA Context triple: [ministerio de defensa, puedeEstarSujetoA, control parlamentario]
-
A.
isSubjectTo
chosen
Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
-
B.
susceptibleTo
Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
-
C.
mayBeSuedUnder
Indicates that one entity is legally subject to being sued or brought to court under a specified law, statute, or legal framework by another entity.
-
D.
canBeSuedFor
Indicates that one party is legally liable or potentially subject to legal action by another party for a specified cause or wrongdoing.
-
E.
hasLegalSubject
Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:55 a.m.