Triple
T21453176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 79 |
E529268
|
entity |
| Predicate | definesInstitutionalRelationship |
P8534
|
FINISHED |
| Object | President and Houses of Parliament |
—
|
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: President and Houses of Parliament | Statement: [Article 79, definesInstitutionalRelationship, President and Houses of Parliament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesInstitutionalRelationship Context triple: [Article 79, definesInstitutionalRelationship, President and Houses of Parliament]
-
A.
definesInstitution
Indicates that one entity formally establishes, specifies, or sets the official characteristics or structure of an institution.
-
B.
definesRelationshipBetween
chosen
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
-
C.
definesRelationshipAs
Indicates that one entity explicitly specifies or establishes the type or nature of the relationship that holds between two or more entities.
-
D.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
-
E.
fieldAssociatedWithInstitution
Indicates that a particular field (such as a discipline, area of study, or professional domain) is associated with, belongs to, or is practiced within a specific institution.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d50b88819081a771596d0a2b2b |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:07 p.m.