Triple
T8754191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statute of Autonomy of Catalonia |
E208033
|
entity |
| Predicate | grantsAutonomousPowersIn |
P5083
|
FINISHED |
| Object | education |
—
|
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: education | Statement: [Statute of Autonomy of Catalonia, grantsAutonomousPowersIn, education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsAutonomousPowersIn Context triple: [Statute of Autonomy of Catalonia, grantsAutonomousPowersIn, education]
-
A.
grantsOfAutonomy
chosen
Indicates that one entity confers a degree of self-governance, independence, or decision-making authority to another entity.
-
B.
hasAutonomyOver
Indicates that one entity possesses independent control, decision-making power, or self-governance with respect to another entity or domain.
-
C.
hasLimitedAutonomyIn
Indicates that an entity operates or makes decisions within a domain where its freedom of action is constrained or controlled by another entity or governing context.
-
D.
grantedPower
Indicates that one entity has conferred authority, control, or a specific capability to another entity.
-
E.
hasStatePowers
Indicates that an entity possesses or exercises the official powers or authorities of a state-level government.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd714dc8190bccc4d52f988958d |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:39 p.m.