Triple
T21909306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chancellor of Nepal Academy |
E541019
|
entity |
| Predicate | hasTypeOfHeadOfOrganizationRole |
P13957
|
FINISHED |
| Object | chief executive |
—
|
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: chief executive | Statement: [Chancellor of Nepal Academy, hasTypeOfHeadOfOrganizationRole, chief executive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfHeadOfOrganizationRole Context triple: [Chancellor of Nepal Academy, hasTypeOfHeadOfOrganizationRole, chief executive]
-
A.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
B.
hasOrganizationalRole
chosen
Indicates that an entity holds a specific role, position, or function within an organization.
-
C.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
-
D.
parentOrganizationRole
Indicates that an organization holds a specific role or position within a larger parent organization.
-
E.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d8c3108190a178ec6b3857da3f |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:39 p.m.