Triple
T7433584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO: The First Five Years |
E171550
|
entity |
| Predicate | describesOrganizationRole |
P11526
|
FINISHED |
| Object | NATO as a defensive alliance |
—
|
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: NATO as a defensive alliance | Statement: [NATO: The First Five Years, describesOrganizationRole, NATO as a defensive alliance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesOrganizationRole Context triple: [NATO: The First Five Years, describesOrganizationRole, NATO as a defensive alliance]
-
A.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
B.
awardingOrganizationRole
Indicates that an entity holds a specific role or capacity within the organization that grants or confers an award.
-
C.
describesRoleAs
chosen
Indicates that one entity specifies or characterizes the role or function played by another entity.
-
D.
describesOrganization
Indicates that one entity provides a description or characterization of an organization.
-
E.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f327480481909c4691fd3333e2ae |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.