Triple
T28479108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Supreme Court of Spain |
E720641
|
entity |
| Predicate | confersRole |
P16628
|
FINISHED |
| Object | head of the Spanish judiciary |
—
|
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: head of the Spanish judiciary | Statement: [President of the Supreme Court of Spain, confersRole, head of the Spanish judiciary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confersRole Context triple: [President of the Supreme Court of Spain, confersRole, head of the Spanish judiciary]
-
A.
assignsRoleTo
chosen
Indicates that one entity designates or grants a specific role or position to another entity.
-
B.
exportRole
Indicates that an entity functions in a capacity or role specifically related to exporting goods, services, or data.
-
C.
confersMembershipIn
Indicates that one entity grants or bestows membership status in a group, organization, or category upon another entity.
-
D.
impliesRole
Indicates that one role logically entails or gives rise to another role within a given context or system.
-
E.
definesRole
Indicates that one entity specifies or establishes the role, function, or position of another entity within a given 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 28, 2026, 2:54 a.m.