Triple
T36191830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SD-6 |
E1047010
|
entity |
| Predicate | frontOrganizationType |
P60463
|
FINISHED |
| Object | CIA division |
—
|
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: CIA division | Statement: [SD-6, frontOrganizationType, CIA division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontOrganizationType Context triple: [SD-6, frontOrganizationType, CIA division]
-
A.
hasFrontOrganization
chosen
Indicates that an entity is represented, covered, or operated through another entity that serves as its front or façade organization.
-
B.
parentOrganizationType
Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
-
C.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
D.
leftOrganization
Indicates that an entity has departed from or is no longer affiliated with a particular organization.
-
E.
frontSightType
Indicates the specific kind or design of the front sight used on an object, typically a firearm or similar aiming device.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.