Triple
T4127162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLIM |
E92752
|
entity |
| Predicate | organizationTypeOfOperator |
P3580
|
FINISHED |
| Object | national space agency |
—
|
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: national space agency | Statement: [SLIM, organizationTypeOfOperator, national space agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationTypeOfOperator Context triple: [SLIM, organizationTypeOfOperator, national space agency]
-
A.
agencyTypeOfOperator
Indicates the specific type or category of agency to which the operator belongs or by which the operator is characterized.
-
B.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
-
C.
organizationTypeOfHolder
Indicates that a specified organization serves as the type or category of the holder in the given relationship.
-
D.
organizationType
chosen
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
E.
issuerOperatesIn
Indicates that an issuing entity conducts business activities or has operational presence within a specified geographic area or jurisdiction.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:42 p.m.